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Research Topics

The artificial intelligence unit works on the discovery, management and application of knowledge. The main topics of our research cover a wide range of current problems, methods and application areas.

Methods


Knowledge Discovery and Data Mining
ÜberblickZuThomasChristallersGeburtstag
Distributed Data Mining
Data Visualization

Application Areas


Resources


Projects
Software
Books
Phd Theses
Diploma Theses

Selected Publications

Adam/etal/2017a Adam, Jan and others. Mirror position determination for the alignment of Cherenkov Telescopes. In Nuclear Instruments and Methods in Physics Research Section A, Vol. Vol. 860, pages 1-5, 2017.
Hess/etal/2017a Hess, Sibylle and Morik, Katharina and Piatkowski, Nico. The PRIMPING routine---Tiling through proximal alternating linearized minimization. In Data Mining and Knowledge Discovery, pages 1--42, 2017.
Liebig/etal/2017b Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik. Dynamic Route Planning with Real-Time Traffic Predictions. In Information Systems, Vol. 64, pages 258--265, Elsevier, 2017.
Ramachandran/etal/2017a Ramachandran Venkatapathy, Aswin Karthik and Bayhan, Haci and Zeidler, Felix and ten Hompel, Michael. Human Machine Synergies in Intra-Logistics: Creating a Hybrid Network for Research and Technologies. In 5th Workshop on Information Technologies for Logistics, 2017.
Stolpe/2017a Marco Stolpe. Distributed Analysis of Vertically Partitioned Sensor Measurements under Communication Constraints. TU Dortmund University, Dortmund, 2017.
Breß/etal/2016a Sebastian Breß and Henning Funke and Jens Teubner. Robust Query Processing in Co-Processor-Accelerated Databases. In Proc. of the 2016 ACM SIGMOD Conference on Management of Data, San Francisco, CA, USA, ACM, 2016.
Buss/etal/2016a Buss, Jens and Bockermann, Christian and Morik, Katharina and Rhode, Wolfgang and Ruhe, Tim. FACT-Tools -- Processing High-Volume Telescope Data. In 26th Astronomical Data Analysis Software and Systems conference (ADASS), 2016.
Das/etal/2016a Das, Mayukh and Wu, Yunqing and Khot, Tushar and Kersting, Kristian and Natarajan, Sriraam. Scaling Lifted Probabilistic Inference and Learning Via Graph Databases,. In Proceedings of the SIAM International Conference on Data Mining (SDM), 2016.
Erdmann/etal/2016b Erdmann, Elena and Boczek, Karin and Koppers, Lars and von Nordheim, Gerret and Poelitz, Christian and Molina, Alejandro and Morik, Katharina and Mueller, Henrik and Rahnenfuehrer, Joerg and Kersting, Kristian. Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. In Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, 2016.
Habel/etal/2015a Habel, Lars and Molina, Alejandro and Zaksek, Thomas and Kersting, Kristian and Schreckenberg, Michael. Traffic Simulations With Empirical Data -- How To Replace Missing Traffic Flows?. In Knoop, Victor L. and Daamen, Winnie (editors), Traffic and Granular Flow '15, pages 491-498, Springer, 2016.
Lee/etal/2016a Lee, Sangkyun and Brzyski, Damian and Bogdan, Malgorzata. Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm. In Arthur Gretton and Christian C. Robert (editors), Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS), pages 780--789, JMLR W&CP, 2016.
Mladenov/etal/2016a Mladenov, Martin and Heinrich, Danny and Kleinhans, Leonard and Gonsior, Felix and Kersting, Kristian. RELOOP: A Python-Embedded Declarative Language for Relational Optimization. In Working Notes of the First AAAI Workshop on Declarative Learning Based Programming (DeLBP), AAAI Press, 2016.
Morris/etal/2016a Morris, Christopher and Kriege, Nils M. and Kersting, Kristian and Mutzel, Petra. Faster Kernels for Graphs with Continuous Attributes via Hashing. In Francesco Bonchi and Josep Domingo-Ferrer (editors), IEEE International Conference on Data Mining (ICDM), 2016.
Odom/etal/2016a Odom, P and Kumaraswamy, R. and Kersting, K. and Natarajan, S.. Learning through Advice-Seeking via Transfer. In James Cussens and Alessandra Russo (editors), Proceedings of the 26th International Conference on Inductive Logic (ILP), Springer, 2016.
Piatkowski/etal/2016a Nico Piatkowski and Sangkyun Lee and Katharina Morik. Integer undirected graphical models for resource-constrained systems. In Neurocomputing, Vol. 173, No. 1, pages 9--23, Elsevier, 2016.
Piatkowski/Morik/2016a Piatkowski, Nico and Morik, Katharina. Stochastic Discrete Clenshaw-Curtis Quadrature. In Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, New York, USA, 19-24 June 2016, JMLR.org, 2016.
Poelitz/etal/2016a Poelitz, Christian and Duivestijn, Wouter and Morik, Katharina. Interpretable Domain Adaptation via Optimization over the Stiefel Manifold. In Machine Learning, Vol. 104, No. 2-3, pages 315-336, 2016.
Siedhoff/2016a Siedhoff, Dominic. A Parameter-Optimizing Model-Based Approach to the Analysis of Low-SNR Image Sequences for Biological Virus Detection. TU Dortmund University, 2016.
Stolpe/2016a Marco Stolpe. The Internet of Things: Opportunities and Challenges for Distributed Data Analysis. In SIGKDD Explorations), 2016.
Stolpe/etal/2016a Stolpe, Marco and Blom, Hendrik and Morik, Katharina. Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. In Computational Sustainability, pages 201--243, Springer, 2016.
Taylor/etal/2016a Taylor, Joseph and Sharmanska, and Kersting, Kristian and Weir, David and Quadrianto, Novi. Learning using Unselected Features (LUFe). In S. Kambhampati (editors), Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016.
Wiegand/etal/2016a Wiegand, Mario and Stolpe, Marco and Deuse, Jochen and Morik, Katharina. Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. In at-Automatisierungstechnik, Vol. 64, No. 7, pages 521--533, 2016.
Yang/etal/2016a Yang, Shuo and Khot, Tushar and Kersting, Kristian and Natarajan, Sriraam. Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), AAAI Press, 2016.
Bauckhage/etal/2015a Bauckhage, Christian and Kersting, Kristian and Hadiji, Fabian. Parameterizing the Distance Distribution of Undirected Networks. In Tom Heskes and Marina Meila (editors), Proceedings of the 31th Conference on Uncertainty in Artificial Intelligence (UAI), AUAI, 2015.
Bauckhage/etal/2015b Bauckhage, Christian and Kersting, Kristian and Hadiji, Fabian. How Viral are Viral Movies?. In Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM), 2015.
Bockermann/etal/2015a Bockermann, Christian and Brügge, Kai and Buss, Jens and Egorov, Alexey and Morik,Katharina and Rhode, Wolfgang and Ruhe, Tim. Online Analysis of High-Volume Data Streams in Astroparticle Physics. In Proceedings of the European Conference on Machine Learning (ECML), Industrial Track, Springer, 2015.
Boerner/etal/2015a Börner, Mathis and Rhode, Wolfgang and Ruhe, Tim and Morik, Katharina. Discovering Neutrinos through Data Analytics. In Proceedings of the ECML PKDD 2015, 2015.
Bruegge/etal/2015a K.A.Brügge and M. L. Ahnen and M. Balbo and M. Bergmann and A. Biland and C. Bockermann and T. Bretz and J. Buss and D. Dorner and S. Einecke and J. Freiwald and C. Hempfling and D. Hildebrand and G. Hughes and W. Lustermann and K. Mannheim and K. Meier and K. Morik and S. Müller and D. Neise and A. Neronov and M. Nöthe and A.K. Overkemping and A. Paravac and F. Pauss and W. Rhode and F. Temme and J. Thaele and S. Toscano and P. Vogler and R. Walter and A. Wilbert. FACT-Tools -- Streamed Real-Time Data Analysis. In Proceedings, 34th International Cosmic Ray Conference (ICRC 2015), The Hague, 2015.
Buss/etal/2015a Buss, Jens and Ahnen, M.L. and Balbo, M. and Bergmann, M. and Biland, Adrian and Bockermann, Christian and Bretz, Thomas and Brügge, K. A. and Dorner, Daniela and Einecke, Sabrina and Freiwald, Jan and Hempfling, Christina and Hildebrand, D. and Hughes, Gareth and Lustermann, Werner and Mannheim, Karl and Meier, K. and Morik, Katharina and Müller, Sebastian and Neise, Dominik and Neronov, A. and Nöthe, Max and Rhode, Wolfgang and Temme, Fabian and Thaele, Julia and Toscano, Simona and Vogler, Patrick and Walter, Roland and Wilbert, A.. FACT -- Influence of SiPM Crosstalk on the Performance of an Operating Cherenkov Telescope. In Proceedings, 34th International Cosmic Ray Conference (ICRC 2015), No. 1130, The Hague, 2015.
Downar/Duivesteijn/2015a Downar, Lennart and Duivesteijn, Wouter. Exceptionally Monotone Models - the Rank Correlation Model Class for Exceptional Model Mining. In Data Mining (ICDM), 2015 IEEE International Conference on, pages 111-120, IEEE, IEEE Computer Society, 2015.
Hadiji/etal/2015b Hadiji, Fabian and Molina, Alejandro and Natarajan, Sriraam and Kersting, Kristian. Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. In Machine Learning Journal (MLJ), Vol. 100, No. 2, pages 477-507, 2015.
Ide/etal/2015a Ide, Christoph and Hadiji, Fabian and Habel, Lars and Molina, Alejandro and Zaksek, Thomas and Schreckenberg, Michael and Kersting, Kristian. and Wietfeld, Christian. LTE Connectivity and Vehicular Traffic Prediction based on Machine Learning Approaches. In IEEE 82nd Vehicular Technology Conference (VTC-Fall), Boston, USA, 2015.
Lee/2015a Sangkyun Lee. Signature Selection for Grouped Features with A Case Study on Exon Microarrays. In Urszula Stańczyk and Lakhmi C. Jain (editors), Feature Selection for Data and Pattern Classification, pages 329--349, Springer, 2015.
Lee/etal/2015b Lee, Sangkyun and Brzyski, Damian and Bogdan, Malgorzata. Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered $\ell_1$-Norm. In arXiv:1511.05864, 2015.
Noethe/etal/2015a M. Nöthe and M. L. Ahnen and M. Balbo and M. Bergmann and C. Bockermann and A. Biland and T. Bretz and K. A. Brügge and J. Buss and D. Dorner and S. Einecke and J. Freiwald and
C. Hempfling and D. Hildebrand and G. Hughes and W. Lustermann and K. Mannheim and
K. Meier and K. Morik and S. Müller and D. Neise and A. Neronov and A.-K. Overkemping and A. Paravac and F. Pauss and W. Rhode and F. Temme and J. Thaele and S. Toscano and P. Vogler and R. Walter and A. Wilbert
. FACT -- Calibration of Imaging Atmospheric Cherenkov Telescopes with Muon Rings. In 34th Int. Cosmic Ray Conference, Procs of Science, 2015.
Schramm/etal/2015a Schramm, Alexander and Köster, Johannes and Assenov, Yassen and Althoff, Kristina and Peifer, Martin and Mahlow, Ellen and Odersky, Andrea and Beisser, Daniela and Ernst, Corinna and Henssen, Anton G. and Stephan, Harald and Schröder, Christopher and Heukamp, Lukas and Engesser, Anne and Kahlert, Yvonne and Theissen, Jessica and Hero, Barbara and Roels, Frederik and Altmüller, Janine and Nürnberg, Peter and Astrahantseff, Kathy and Gloeckner, Christian and De Preter, Katleen and Plass, Christoph and Lee, Sangkyun and Lode, Holger N. and Henrich, Kai-Oliver and Gartlgruber, Moritz and Speleman, Frank and Schmezer, Peter and Westermann, Frank and Rahmann, Sven and Fischer, Matthias and Eggert, Angelika and Schulte, Johannes H.. Mutational dynamics between primary and relapse neuroblastomas. In Nature Genetics, Vol. 47, No. 8, pages 872--877, 2015.
Schwermer/Lee/2015a Schwermer, Melanie and Lee, Sangkyun and Köster, Johannes and van Maerken, Tom and Stephan, Harald and Eggert, Angelika and Morik, Katharina and Schulte, Johannes H. and Schramm, Alexander. Sensitivity to cdk1-inhibition is modulated by p53 status in preclinical models of embryonal tumors. In Oncotarget, 2015.
Shpacovitch/etal/2015a Shpacovitch, Victoria and Temchura, Vladimir and Matrosovich, Mikhail and Hamacher, Joachim and Skolnik, Julia and Libuschewski, Pascal and Siedhoff, Dominic and Weichert, Frank and Marwedel, Peter and Müller, Heinrich and Überla, Klaus and Hergenröder, Roland and Zybin, Alexander. Application of Surface Plasmon Resonance Imaging Technique for the Detection of Single Spherical Biological Submicron-particles. In Analytical Biochemistry: Methods in the Biological Sciences, 2015.
Stolpe/etal/2015a Marco Stolpe and Thomas Liebig and Katharina Morik. Communication-efficient learning of traffic flow in a network of wireless presence sensors. In Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015), pages (to appear), CEUR-WS, 2015.
Temme/etal/2015a F. Temme and M. L. Ahnen and M. Balbo and M. Bergmann and A. Biland and C. Bockermann and T. Bretz and K. A. Brügge and J. Buss and D. Dorner and S. Einecke and J. Freiwald and
 C. Hempfling and D. Hildebrand and G. Hughes and W. Lustermann and K. Mannheim and
 K. Meier and K. Morik and S. Müller and D. Neise and A. Neronov and M. Nöthe and A.-K. Overkemping and A. Paravac and F. Pauss and W. Rhode and J. Thaele and S. Toscano and P. Vogler and R. Walter and A. Wilbert. FACT -- First Energy Spectrum from a SiPM Cherenkov Telescope. In Proceedings, 34th International Cosmic Ray Conference (ICRC 2015), The Hague, 2015.
Aartsen/etal/2014c IceCube Collaboration and Morik, Katharina. Development of a General Analysis and Unfolding Scheme and its Application to Measure the Energy Spectrum of Atmospheric Neutrinos with IceCube. In Eur. Phys.J., 2014.
Arnu/2014a David Arnu. Zusammenhangsanalyse von Materialeigenschaften und Röntgenbeugung (XRD) für ternäre Systeme. 2014.
Artikis/etal/2014a Alexander Artikis and Matthias Weidlich and Francois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane. Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. In Proceedings of the 17th International Conference on Extending Database Technology, 2014.
Blom/etal/2014a Schlüter, Jochen and Odenthal, Hans-Jürgen and Uebber, Norbert and Blom, Hendrik and Beckers, Tobias and Morik, Katharina. Reliable BOF endpoint prediction by novel data-driven modeling. In AISTech Conference Proceedings, AISTech, 2014.
Bockermann/2014a Christian Bockermann. A Visual Programming Approach to Big Data Analytics. In Proc. HCI International 2014, 2014.
Czogalla/2014a Czogalla, Jan. Verbesserung der Lehre durch Frameworking. In Gesellschaft für Informatik e.V. (editors), Lecture Notes in Informatics - Informatiktage 2014, Vol. S - 13, pages 245--248, Gesellschaft für Informatik e.V., 2014.
Kriege/etal/2014a Kriege, Nils and Neumann, Marion and Kersting, Kristian and Mutzel, Petra. Explicit versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. In Kumar, Ravi and Toivonen, Hannu (editors), Proceedings of the IEEE International Conference on Data Mining (ICDM), IEEE, 2014.
Lee/2014a Lee, Sangkyun. Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure. In Holzinger, Andreas and Jurisica, Igor (editors), Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, Vol. 8401, pages 227--240, Springer, 2014.
Lee/2014b Lee, Sangkyun. Characterization of Subgroup Patterns from Graphical Representation of Genomic Data. In \'Sl\c ezak, Dominik and Tan, Ah-Hwee and Peters, JamesF. and Schwabe, Lars (editors), Brain Informatics and Health, Vol. 8609, pages 516--527, Springer, 2014.
Lee/etal/2014a Sangkyun Lee and Jörg Rahnenführer and Michel Lang and Katleen de Preter and Pieter Mestdagh and Jan Koster and Rogier Versteeg and Raymond Stallings and Luigi Varesio and Shahab Asgharzadeh and Johannes Schulte and Kathrin Fielitz and Melanie Heilmann and Katharina Morik and Alexander Schramm. Robust Selection of Cancer Survival Signatures from High-Throughput Genomic Data Using Two-Fold Subsampling. In PLoS ONE, Vol. 9, pages e108818, 2014.
Lee/Poelitz/2014a Lee, Sangkyun and Pölitz, Christian. Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-Limited Sensor Networks. In International Conference on Pattern Recognition Applications and Methods, 2014.
Liebig/etal/2014d Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik. Route Planning with Real-Time Traffic Predictions. In Proceedings of the LWA 2014 Workshops: KDML, IR, FGWM, pages 83-94, 2014.
Piatkowski/etal/2014a Piatkowski, Nico and Sangkyun, Lee and Morik,Katharina. The Integer Approximation of Undirected Graphical Models. In De Marsico, Maria and Tabbone, Antoine and Fred, Ana (editors), ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, Loire Valley, France, 6-8 March, 2014, pages 296--304, SciTePress, 2014.
Piatkowski/etal/2015b Piatkowski, Nico and Streicher, Jochen and Olaf, Spinczyk and Morik, Katharina. Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. In Atzmueller, Martin and Chin, Alvin and Scholz, Christoph and Trattner, Christoph (editors), Mining, Modeling and Recommending Things in Social Media, Vol. 8940, pages 116 -- 130, Springer, 2014.
Roy/Teubner/2014a Pratanu Roy and Jens Teubner and Rainer Gemulla. Low-Latency Handshake Join. In Proceedings of the VLDB Endowment, Vol. 7, No. 9, pages 709-720, 2014.
Schnitzler/etal/2014b Schnitzler, Francois and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios. Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. In Proceedings of the European Conference on Machine Learning (ECML), Nectar Track, pages 520-523, Springer, 2014.
Bauckhage/etal/2013b Bauckhage, Christian and Kersting, Kristian and Rastegarpanah, Bashir. The Weibull as a Model of Shortest Path Distributions in Random Networks. In L. Adamic and L. Getoor and B. Huang and J. Leskovec and J. McAuley (editors), Working Notes of the International Workshop on Mining and Learning with Graphs, Chicago, IL, USA, 2013.
Bhaduri/Stolpe/2013a Bhaduri, Kanishka and Stolpe, Marco. Distributed Data Mining in Sensor Networks. In Aggarwal, Charu C. (editors), Managing and Mining Sensor Data, Berlin, Heidelberg, Springer, 2013.
Bohnen/etal/2013a Bohnen, Fabian and Stolpe, Marco and Deuse, Jochen and Morik, Katharina. Using a Clustering Approach with Evolutionary Optimized Attribute Weights to Form Product Families for Production Leveling. In Windt, Katja (editors), Robust Manufacturing Control, pages 189--202, Berlin, Heidelberg, Springer, 2013.
Czogalla/Morik/2013a Czogalla, Jan and Morik, Katharina. Rapid Development of RapidMiner Extensions. In Fischer, Simon and Mierswa, Ingo and Mendes Moreira, Jõao and Soares, Carlos (editors), Proceedings of the 4th RapidMiner Community Meeting and Conference (RCOMM 2013), pages 51--57, 2013.
Lee/Wright/2013a Lee, Sangkyun and Wright, Stephen J.. Stochastic Subgradient Estimation Training for Support Vector Machines. In Latorre Carmona, Pedro and S\'anchez, J. Salvador and Fred, Ana L.N. (editors), Mathematical Methodologies in Pattern Recognition and Machine Learning, Vol. 30, pages 67--82, Springer, 2013.
Lieber/etal/2013a Lieber, Daniel and Stolpe, Marco and Konrad, Benedikt and Deuse, Jochen and Morik, Katharina. Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning. In Procedia CIRP - 46th CIRP Conf. on Manufacturing Systems, Vol. 7, pages 193-198, Elsevier, 2013.
Morik/2013a Morik, Katharina. Some Machine Learning Approaches to the Analysis of Temporal Data. In Becker, Claudia and Fried, Roland and Kuhnt, Sonja (editors), Robustness and Complex Data Structures -- Festschrift in Honor of Ursula Gather, pages 279 - 299, Springer, 2013.
Neumann/etal/2013b Neumann, Marion and Moreno, Plinio and Antanas, Laura and Garnett, Roman and Kersting, Kristian. Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping. In Adamic,L. and Getoor, L. and Huang, B. and Leskovec, J. and McAuley, J. (editors), Working Notes of the International Workshop on Mining and Learning with Graphs, Chicago, IL, USA, 2013.
Shpacovitch/etal/2013a Shpacovitch, Victoria and Temchura, Vladimir and Überla, Klaus and Zybin, Alexander. Application of Surface Plasmone Resonance Imaging (SPRi) for the Selective Detection of single HIV-Virus-like Particles (HIV-VLPs). In 8th Deutsches BioSensor Symposium (DBS 2013), March 10-13th, 2013, (oral presentation), 2013.
Siedhoff/etal/2013a Siedhoff, Dominic and Libuschewski, Pascal and Weichert, Frank. Knowledge Extraction and Application in Biosensor Data Analysis. In Poster Presentation at IK 2013, 2013.
Stolpe/etal/2013a Stolpe, M. and Bhaduri, K. and Das, K. and Morik, K.. Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. In Blockeel, Hendrikand Kersting, Kristianand Nijssen, Siegfriedand \vZelezný, Filip (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III, pages 321--336, Springer, 2013.
Streicher/etal/2013b Streicher, Jochen and Piatkowski, Nico and Morik, Katharina and Spinczyk, Olaf. Open Smartphone Data for Mobility and Utilization Analysis in Ubiquitous Environments. In Atzmüller, Martin and Scholz, Christoph (editors), Proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), 2013.
Bockermann/Blom/2012a Christian Bockermann and Hendrik Blom. Processing Data Streams with the RapidMiner Streams-Plugin. In Proceedings of the 3rd RapidMiner Community Meeting and Conference, 2012.
Gieseke/etal/2012a Fabian Gieseke and Gabriel Moruz and Jan Vahrenhold. Resilient K-d Trees: K-Means in Space Revisited. In Frontiers of Computer Science, Vol. 6, No. 2, pages 166-178, 2012.
Jungermann/2012a Jungermann, Felix. About the Exploration of Data Mining Techniques using Structured Features for Information Extraction. Technische Universität Dortmund, 2012.
Lee/2012a Lee, Sangkyun. Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation. In German Conference on Artificial Intelligence (KI 2012), pages 229--232, 2012.
Lee/Wright/2012a Lee, Sangkyun and Wright, Stephen J.. ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines. In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), pages 223-228, 2012.
Lee/Wright/2012b Lee, Sangkyun and Wright, Stephen J.. Manifold Identification in Dual Averaging Methods for Regularized Stochastic Online Learning. In Journal of Machine Learning Research, Vol. 13, pages 1705--1744, 2012.
Lewandowski/etal/2012a Lewandowski, Andreas and Michaelis, Stefan and Wietfeld, Christian and Jirka Klaue and Martin Kubisch. In-Cabin Localization Solution for Optimizing Manufacturing and Maintenance Processes for Wide-Body Commercial Aircraft. In IEEE/ION Position, Location and Navigation Symposium (PLANS), Myrtle Beach, SC, 2012.
Lieber/etal/2012a Lieber, Daniel and Konrad, Benedikt and Deuse, Jochen and Stolpe, Marco and Morik, Katharina. Sustainable Interlinked Manufacturing Processes through Real-Time Quality Prediction. In Dornfeld, David A. and Linke, Barbara S. (editors), Leveraging Technology for a Sustainable World, pages 393-398, CIRP, Berlin, Heidelberg, Springer, 2012.
Morik/etal/2011a Morik, Katharina and Kaspari, Andreas and Wurst, Michael and Skirzynski, Marcin. Multi-Objective Frequent Termset Clustering. In Knowledge and Information Systems, Vol. 30, No. 3, pages 715-738, 2012.
Morik/etal/2012a Morik, Katharina and Bhaduri, Kanishka and Kargupta, Hillol. Introduction to data mining for sustainability. In Data Mining and Knowledge Discovery, Vol. 24, No. 2, pages 311 -- 324, 2012.
Morik/etal/2012b Morik, Katharina and Blom, Hendrik and Odenthal, Hans-Jürgen and Uebber, Norbert. Resource-Aware Steel Production Through Data Mining. In SustKDD workshop at KDD, Beijing, China, 2012.
Natarajan/etal/2012c Natarajan, Sriraam and Khot, Tushar and Kersting, Kristian and Gutmann, Bernd and Shavlik, Jude. Gradient-based boosting for statistical relational learning: The relational dependency network case. In Machine Learning Journal, Vol. 86, No. 1, 2012.
Piatkowski/2012a Piatkowski, Nico. iST-MRF: Interactive Spatio-Temporal Probabilistic Models for Sensor Networks. In International Workshop at ECML PKDD 2012 on Instant Interactive Data Mining (IID), 2012.
Scheffer/Vahrenhold/2012a Christian Scheffer and Jan Vahrenhold. Approximating Geodesic Distances on 2-Manifolds in $R^3$. In Computational Geometry: Theory & Applications, 2012.
Besa/etal/2011a Besa, V. and Darwiche, K. and Teschler, H. and Kurth, I. and Rabis, T. and Anhenn, O. and Sommerwerck, U. and Baumbach, J.I. and Freitag, L.. Volatile Organic Compounds in Chronic Obstructive Pulmonary Disease. 2011.
Cumeras/etal/2011a Cumeras, R. and Rupp, Kathrin and Schneider, T. and Favrod, P. and Maddula, Sasidhar and Baumbach, Jörg Ingo. Influence of Room Air and Operational Background Emissions on Breath Analysis Using MCC/IMS. 2011.
Darwiche/etal/2011b Darwiche, K. and Baumbach, Jörg Ingo and Sommerwerck, U. and Teschler, H. and Freitag, L.. Volatile Organic Compounds (VOC) sampled during bronchoscopy in lung cancer patients. 2011.
Jungermann/2011a Jungermann, Felix. Handling Tree-Structured Values in RapidMiner. In Proceedings of the 2nd RapidMiner Community Meeting and Conference (RCOMM 2011), pages 151 -- 162, 2011.
Lee/2011a Lee, Sangkyun. Optimization Methods for Regularized Convex Formulations in Machine Learning. University of Wisconsin--Madison, 2011.
Lee/Bockermann/2011a Lee, Sangkyun and Bockermann, Christian. Scalable stochastic gradient descent with improved confidence. In Big Learning -- Algorithms, Systems, and Tools for Learning at Scale, 2011.
Lee/Wright/2011a Lee, Sangkyun and Wright, Stephen J.. Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning. In the 28th International Conference on Machine Learning, 2011.
Maddula/Baumbach/2011a Maddula, Sasidhar and Baumbach, Jörg Ingo. Ion Mobility Spectrometry for Metabolic Profiling of Human Breath in Intensive Care and Point of Care Applications. 2011.
Maddula/etal/2011a Maddula, Sasidhar and Rabis, Thomas and Sommerwerck, Urte and Anhenn, Olaf and Darwiche, Kaid and Freitag, Lutz and Teschler, Helmut and Baumbach, Jörg Ingo. Correlation analysis on data sets to detect infectious agents in the airways by ion mobility spectrometry of exhaled breath. In International Journal for Ion Mobility Spectrometry, Vol. 14, No. 4, pages 197-206, 2011.
Maddula/etal/2011b Maddula, Sasidhar and Rupp, Kathrin and Baumbach, Jörg Ingo. Large Scale Scanning of Metabolites in IMS-Chromatograms. 2011.
Michaelis/2011a Stefan Michaelis. Balancing High-Load Scenarios with Next Cell Predictions and Mobility Pattern Recognition. In International Conference on Mobile Services, Resources, and Users (MOBILITY 2011), Barcelona, Spain, 2011.
Piatkowski/2011c Piatkowski, Nico. Parallel Algorithms for GPU Accelerated Probabilistic Inference. In International Workshop on Big Learning, Neural Information Processing Systems (NIPS), 2011.
Piatkowski/Morik/2011a Piatkowski, Nico and Morik, Katharina. Parallel Inference on Structured Data with CRFs on GPUs. In International Workshop at ECML PKDD on Collective Learning and Inference on Structured Data (COLISD), Athens, Greece, 2011.
Ruhe/etal/2011b Ruhe, Tim and Morik, Katharina and Rhode, Wolfgang. Data Mining Ice Cubes. In Gabriel, Carlos et alii (editors), Astronomical Data Analysis Software and Systems, 2011.
Schowe/Morik/2011b Schowe, Benjamin and Morik, Katharina. Fast-Ensembles of Minimum Redundancy Feature Selection. In Okun, Oleg and Valentini, Giorgio and Re, Matteo (editors), Ensembles in Machine Learning Applications, pages 75--95, Springer, 2011.
Siedhoff/etal/2011a Siedhoff, Dominic and Weichert, Frank and Libuschewski, Pascal and Timm, Constantin. Detection and Classification of Nano-Objects in Biosensor Data. In Microscopic Image Analysis with Applications in Biology, 2011.
Stolpe/etal/2011a Stolpe, Marco and Morik, Katharina and Konrad, Benedikt and Lieber, Daniel and Deuse, Jochen. Challenges for Data Mining on Sensor Data of Interlinked Processes. In Proceedings of the Next Generation Data Mining Summit (NGDM) 2011, 2011.
Stolpe/Morik/2011a Stolpe, M. and Morik, K.. Learning from Label Proportions by Optimizing Cluster Model Selection. In Gunopulos, Dimitriosand Hofmann, Thomasand Malerba, Donatoand Vazirgiannis, Michalis (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III, pages 349--364, Springer, 2011.
Timm/etal/2011a Timm, Constantin and Libuschewski, Pascal and Siedhoff, Dominic and Weichert, Frank and Müller, Heinrich and Marwedel, Peter. Improving Nanoobject Detection in Optical Biosensor Data. In Callaos, N. et al (editors), Proceedings of the 15th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2011, Vol. II, pages 236-240, Orlando, Florida, USA, IIIS, 2011.
Tomanek/Morik/2011a Tomanek, Katrin and Morik, Katharina. Inspecting Sample Reusability for Active Learning. In Guyon, Isabelle (editors), Proceedings of the Active Learning and Experimental Design workshop
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Westhoff/etal/2011a Westhoff, M. and Litterst, P. and Maddula, Sasidhar and Baumbach, Jörg Ingo. Drug delivery related to metabolites in human breath - first results of long term clinical studies using MCC/IMS. 2011.
Fricke/etal/2010a Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco. Towards Adjusting Mobile Devices to User's Behaviour. In Proceedings of the International Workshop at ECML PKDD on Mining Ubiquitous and Social Environments (MUSE 2010), pages 7 -- 22, 2010.
Kersting/etal/2010a Kersting, Kristian and El Massaoudi, Youssef and Ahmadi, Babak and Hadiji, Fabian. Informed Lifting for Message-Passing. In Fox, M. and Poole, D. (editors), Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, USA, 2010.
Lokuciejewski/etal/2010a Lokuciejewski, Paul and Stolpe, Marco and Morik, Katharina and Marwedel, Peter. Automatic Selection of Machine Learning Models for WCET-aware Compiler Heuristic Generation. In Proceedings of the 4th Workshop on Statistical and Machine Learning Approaches to ARchitecture and compilaTion (SMART), 2010.
Morik/2010a Morik, Katharina. Medicine: Applications in Machine Learning. In Sammut, Claude and Webb, Geoffrey I. (editors), Encyclopedia of Machine Learning, pages 654-661, Springer, 2010.
Morik/etal/2010a Morik, Katharina and Stolpe, Marco and Deuse, Jochen and Bohnen, Fabian and Reichel, Ulrich. Prognosemodelle zur Ermittlung der Produkteigenschaften -- Einsatz von Data-Mining-Verfahren im Walzwerk. In stahl und eisen, No. 10, pages 80--82, 2010.
Morik/etal/2010c Morik, Katharina and Jungermann, Felix and Piatkowski, Nico and Engel,Michael. Enhancing Ubiquitous Systems Through System Call Mining. In Large-scale Analytics for Complex Instrumented Systems (LACIS), Workshop at ICDM 2010, 2010.
Sanner/Kersting/2010a Sanner, Scott and Kersting, Kristian. Symbolic Dynamic Programming for First-order POMDPs. In Fox, M. and Poole, D. (editors), Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, USA, 2010.
Schowe/Morik/2010a Schowe, Benjamin and Morik, Katharina. Fast-Ensembles of Minimum Redundancy Feature Selection. In Okun, Oleg and Valentini, Giorgio and Re, Matteo (editors), Workshop at ECML PKDD on Supervised and Unsupervised Ensemble Methods and their Applications - SUEMA 2010, 2010.
Schulte/Schowe/2010a Johannes H. Schulte and Benjamin Schowe and Pieter Mestdagh and Lars Kaderali and Prabhav Kalaghatgi and Stefanie Schlierf and Joelle Vermeulen and Bent Brockmeyer and Kristian Pajtler and Theresa Thor and Katleen de Preter and Frank Speleman and Katharina Morik and Angelika Eggert and Jo Vandesompele and Alexander Schramm. Accurate Prediction of Neuroblastoma Outcome based on miRNA Expression Profiles. In International Journal of Cancer, 2010.
Had/etal/2009a Had, Martin and Jungermann, Felix and Morik, Katharina. Relation Extraction for Monitoring Economic Networks. In Horacek, H. and Metais, E. and Munoz, R. and Wolska, M. (editors), Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems (NLDB), Vol. 5723, pages 103--114, Springer, 2009.
Lee/Wright/2009a Lee, Sangkyun and Wright, Stephen J.. Decomposition Algorithms for Training Large-scale Semiparametric Support Vector Machines. In Buntine, Wray and Grobelnik, Marko and Mladenic, Dunja and Shawe-Taylor, John (editors), Machine Learning and Knowledge Discovery in Databases, Vol. 5782, pages 1-14, Springer, 2009.
Lee/Wright/2009b Lee, Sangkyun and Wright, Stephen J.. Signal Processing Algorithms on Graphical Processing Units. In INFORMS Annual Meeting, 2009.
Lee/Wright/2009c Lee, Sangkyun and Wright, Stephen J.. Decomposition and Stochastic Subgradient Algorithms for Support Vector Machines. In 20th International Symposium on Mathematical Programming, 2009.
Lokuciejewski/etal/2009a Lokuciejewski, Paul and Gedikli, Fatih and Marwedel, Peter and Morik, Katharina. Automatic WCET Reduction by Machine Learning Based Heuristics for Function Inlining. In SMART '09: Proc. of the 3rd Workshop on Statistical and Machine Learning Approaches to Architecture and Compilation, pages 1--15, Paphos / Cyprus, 2009.
Morik/etal/2009a May, Michael and Berendt, Bettina and Cornuejols, Antoine and Gama, Joao and Giannotti, Fosca and Hotho, Andreas and Malerba, Donato and Menesalvas, Ernestina and Morik, Katharina and Pedersen, Rasmus and Saitta, Lorenza and Saygin, Yucel and Schuster, Assaf and Vanhoof, Koen. Research Challenges in Ubiquitous Knowledge Discovery. In Kargupta and Han and Yu and Motwani and Kumar (editors), Next Generation of Data Mining, pages 131--151, CRC Press, 2009.
Schramm/Mierswa/2009a Schramm, Alexander and Mierswa, Ingo and Kaderali, Lars and Morik, Katharina and Eggert, Angelika and Schulte, Johannes H.. Reanalysis of neuroblastoma expression profiling data using improved methodology and extended follow-up increases validity of outcome prediction. In Cancer Letters, Vol. 282, No. 1, pages 56--62, 2009.
Jungermann/Morik/2008b Jungermann, Felix and Morik, Katharina. Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. In Proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Vol. 5039/2008, pages 335 - 336, Springer, 2008.
Kersting/Driessens/2008a Kersting, Kristian and Driessens, Kurt. Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains. In McCallum, A. and Roweis, S. (editors), Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland, 2008.
Mierswa/etal/2008a Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Handling Local Patterns in Collaborative Structuring. In Masseglia, Florent and Poncelet, Pascal and Teisseire, Maguelonne (editors), Successes and New Directions in Data Mining, pages 167 -- 186, IGI Global, 2008.
Mierswa/etal/2008b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen and Shephard and Cui and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147--176, Igi Global Publishing, 2008.
Mierswa/Morik/2008a Mierswa, Ingo and Morik, Katharina. About the Non-Convex Optimization Problem Induced by Non-positive Semidefinite Kernel Learning. In Advances in Data Analysis and Classification, Vol. 2, No. 3, pages 241--258, 2008.
Milch/etal/2008a Milch, Brian and Zettlemoyer, Luke S. and Kersting, Kristian and Haimes, Michael and Kaelbling, Leslie Pack. Lifted Probabilistic Inference with Counting Formulas. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, Chicago, Illinois, 2008.
Morik/etal/2008a Daelemans, Walter and Goethals, Bart and Morik, Katharina. Guest Editors Introduction: Special issue of Selected Papers from ECML PKDD 2008. In Data Mining and Knowledge Discovery, Vol. 17, No. 1, pages 1-2, 2008.
Berthold/etal/2007a Berthold, Michael and Morik, Katharina and Siebes, Arno. Introduction -- Parallel Universes and Local Patterns. In Berthold, Michael and Morik, Katharina and Siebes, Arno (editors), Parallel Universes and Local Patterns, No. 07181, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
Bockermann/etal/2007a Bockermann, Christian and Mierswa, Ingo and Morik, Katharina. On the Automated Creation of Understandable Positive Security Models for Web Applications. In 2nd International Workshop on Web and Pervasive Security, pages 554--559, 2007.
Flasch/etal/2007a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Nemoz - A Distributed Framework for Collaborative Media Organization. In Proceedings of the Third International Workshop on Distributed Frameworks for Multimedia Applications, 2007.
Flasch/etal/2007b Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-Based Tagging for Collaborative Media Organization. In Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni (editors), From Web to Social Web: Discovering and Deploying User and Content Profiles, Vol. 4737, pages 122-141, Springer, 2007.
Kersting/etal/2007a Kersting, Kristian and Plagemann, Christian and Pfaff, Patrick and Burgard, Wolfram. Most Likely Heteroscedastic Gaussian Process Regression. In Ghahramani, Z. (editors), Proceedings of the 24th Annual International Conference on Machine Learning, Corvallis, OR, USA, 2007.
Mierswa/etal/2007b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen, Shepherd, Cui, and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147 - 175, Information Science Reference, 2007.
Morik/Wurst/2007a Morik, Katharina and Wurst, Michael. Multi-Aspect Tagging for Collaborative Structuring. In Michael R. Berthold and Katharina Morik and Arno Siebes (editors), Parallel Universes and Local Patterns, No. 07181, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
Ritter/etal/2007a Morik, Katharina and Mühlenbrock, Martin. In Order to Learn -- How the Sequence of Topics Influences Learning. pages 119--136, Oxford University Press, 2007.
Wurst/Morik/2007a Wurst, Michael and Morik, Katharina. Distributed Feature Extraction in a P2P Setting - A Case Study. In Future Generation Computer Systems, Special Issue on Data Mining, Vol. 23, No. 1, pages 69 -- 75, Amsterdam, The Netherlands, Elsevier Science Publishers B. V., 2007.
Flasch/etal/2006a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-Based Tagging for Collaborative Media Organization. In Berendt, Bettina and others (editors), Workshop Ubiquitous Knowledge Discovery for Users (UKDU'06), 2006.
Lee/etal/2006a Lee, Sangkyun and Lee, S.-J. and Zhang, B.-T.. Combining Information-based Supervised and Unsupervised Feature Selection. In Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh (editors), Feature Extraction: Foundations and Applications, Springer, 2006.
Morik/Rueping/2006a Morik, Katharina and Rüping, Stefan. Klassifikations-/Clustermethoden und Konjunkturanalyse. Duncker & Humbolt, 2006.
Morik/Rueping/2006b Morik, Katharina and Rüping, Stefan. An Inductive Logic Programming Approach to the Classification of Phases in Business Cycles. In Heilemann, U. and Weihs, Claus (editors), Classification and Clustering in Business Cycle Analysis, Duncker & Humbolt, 2006.
Scholz/2006a Scholz, Martin. Boosting in PN Spaces. In Johannes Furnkranz, Tobias Scheffer, Myra Spiliopoulou (editors), Proceedings of the 17th European Conference on Machine Learning (ECML-06), Vol. 4212, pages 377--388, Berlin, Germany, Springer, 2006.
Wurst/etal/2006a Wurst, Michael and Morik, Katharina and Mierswa, Ingo. Localized Alternative Cluster Ensembles for Collaborative Structuring. In Johannes Fürnkranz and Tobias Scheffer and Myra Spiliopoulou (editors), Proceedings of the European Conference on Machine Learning, pages 485--496, Berlin, Springer, 2006.
Wurst/Morik/2006b Wurst, Michael and Morik, Katharina. Multi-Agent Learning By Feature Sharing. In Proceedings of the 6th European Symposium on Adaptive Learning Agents and MAS, 2006.
Haustein/Pleumann/2005a Stefan Haustein and Jorg Pleumann. A Model-Driven Runtime Environment for Web Applications. In Software and Systems Modeling, 2005.
Homburg/etal/2005a Homburg, Helge and Mierswa,Ingo and Moller, Bulent and Morik, Katharina and Wurst, Michael. A Benchmark Dataset for Audio Classification and Clustering. In Joshua D. Reiss and Geraint A. Wiggins (editors), Proc. of the International Symposium on Music Information Retrieval 2005, pages 528--531, London, UK, Queen Mary University, 2005.
Mierswa/Morik/2005a Mierswa, Ingo and Morik, Katharina. Automatic Feature Extraction for Classifying Audio Data. In Machine Learning Journal, Vol. 58, pages 127--149, 2005.
Mierswa/Morik/2005b Mierswa, Ingo and Morik, Katharina. Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2005, Workshop on Self-Organization In Representations For Evolutionary Algorithms: Building complexity from simplicity, pages 293--300, New York, NY, USA, ACM, 2005.
Mierswa/Morik/2005c Mierswa, Ingo and Morik, Katharina. Evolutionäre Aufzucht von Methodenbäumen zur Merkmalsextraktion aus Audiodaten. In Informatik Spektrum, Themenheft Musik, Vol. 28, No. 5, pages 381--388, 2005.
Morik/2005a Morik, Katharina. Informatik Spektrum, Themenheft Musik. 2005.
Morik/etal/2005b Morik, Katharina and Schmidt-Traub, Henner and Hicking, Bernd and Köpcke, Hanna and Mierswa, Ingo. Optimierung von Aufstellungsentwurfen für Chemieanlagen. In Industriemanagement, Vol. 21, No. 3, pages 25--28, 2005.
Morik/etal/2005c Morik, Katharina and Boulicaut, Jean-François and Siebes, Arno. Local Pattern Detection. Vol. 3539, Springer, 2005.
Morik/Klingspor/2005a Morik, Katharina and Klingspor, Volker. Informatik kompakt. Springer, 2005.
Morik/Koepcke/2005a Morik, Katharina and Köpcke, Hanna. Features for Learning Local Patterns in Time-Stamped Data. In Katharina Morik and Jean-Francois Boulicaut and Arno Siebes (editors), Local Pattern Detection: International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers, Vol. LNCS 3539, pages 98--114, Springer, 2005.
Roessler/Morik/2005a Roessler, Marc and Morik, Katharina. Using Unlabeled Texts for Named-Entity Recognition. In Tobias Scheffer and Stefan R\"uping (editors), ICML Workshop on Multiple View Learning, 2005.
Klinkenberg/2004a Klinkenberg, Ralf. Learning Drifting Concepts: Example Selection vs. Example Weighting. In Intelligent Data Analysis (IDA), Special Issue on Incremental Learning Systems Capable of Dealing with Concept Drift, Vol. 8, No. 3, pages 281--300, 2004.
Morik/Koepcke/2004a Morik, Katharina and Köpcke, Hanna. Analysing Customer Churn in Insurance Data - A Case Study. In Jean-Francois Boulicaut and Floriana Esposito and Fosca Giannotti and Dino Pedreschi (editors), PKDD '04: Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Vol. 3202, pages 325--336, New York, NY, USA, Springer, 2004.
Morik/Scholz/2004a Morik, Katharina and Scholz, Martin. The MiningMart Approach to Knowledge Discovery in Databases. In Ning Zhong and Jiming Liu (editors), Intelligent Technologies for Information Analysis, pages 47--65, Springer, 2004.
Haustein/etal/2003a Haustein, Stefan and Morik, Katharina and Pleumann, Jörg. The InfoLayer - A Simple Knowledge Management System Put To Use in Academica. In I-Know-03, Springer, 2003.
Klinkenberg/Rueping/2003a Klinkenberg, Ralf and Rüping, Stefan. Concept Drift and the Importance of Examples. In Franke, Jurgen and Nakhaeizadeh, Gholamreza and Renz, Ingrid (editors), Text Mining -- Theoretical Aspects and Applications, pages 55--77, Berlin, Germany, Physica-Verlag, 2003.
Novak/etal/2003c Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Wurst, Michael and Morik, Katharina and Kunz, Christoph and Ziegler, J"urgen. Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. In Mensch und Computer, 2003.
Ritthoff/Klinkenberg/2003a Ritthoff, Oliver and Klinkenberg, Ralf. Evolutionary Feature Space Transformation using Type-Restricted Generators. In Cantu-Paz, E. et al. (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003) - Part II, pages 1606--1607, Springer, 2003.
Rueping/Morik/2003a Rüping, Stefan and Morik, Katharina. Support Vector Machines and Learning about Time. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), 2003.
Daniel/etal/2002a Daniel, Guido and Dienstuhl, J. and Engell, S. and Felske, S. and Goser, K. and Klinkenberg, R. and Morik, K. and Ritthoff, O. and Schmidt-Traub, H.. Novel Learning Tasks, Optimization, and Their Application. In Schwefel, H.-P. and Wegener, I. and Weinert, K. (editors), Advances in Computational Intelligence -- Theory and Practice, pages 245--318, Berlin, Germany, Springer, 2002.
Haustein/Pleumann/2002a Stefan Haustein and Jorg Pleumann. Easing Participation in the Semantic Web. In International Workshop on the Semantic Web at WWW2002, 2002.
Haustein/Pleumann/2002b Stefan Haustein and Jorg Pleumann. Is Participation in the Semantic Web Too Difficult?. In I. Horrocks and J. Hendler (editors), The Semantic Web - First International Semantic Web Conference, No. 2342, pages 448 ff., Springer, 2002.
Kleiner/etal/2002a Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O.. Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence. In Gronau, N. and Krallmann, H. and Scholz-Reiter, B. (editors), Industrie Management, No. 6, pages 29--32, Berlin, GITO-Verlag, 2002.
Klinkenberg/etal/2002a Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina. Novel Learning Tasks From Practical Applications. In Henze, Nicola and Kókai, Gabriella and Zeidler, Jens (editors), LLA'02: Lehren -- Lernen -- Adaptivitat, Proceedings of the workshop of the special interest groups Machine Learning (FGML), Intelligent Tutoring Systems (ILLS), and Adaptivity and User Modeling in Interactive Systems (ABIS) of the German Computer Science Society (GI), pages 46--59, Hannover, Germany, University of Hannover, 2002.
Morik/2002a Morik, Katharina. Detecting Interesting Instances. In Hand, David J. and Adams, Niall M. and Bolton, Richard J. (editors), Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery, Vol. 2447, pages 13-23, Berlin, Springer, 2002.
Morik/etal/2002a Morik, Katharina and Joachims, T. and Imhoff, M. and Brockhausen, P. and Rüping, S.. Integrating Kernel Methods into a Knowledge-based Approach to Evidence-based Medicine. In Schmitt, Manfred and Teodorescu, Horia-Nicolai and Jain, Ashlesha and Jain, Ajita and Jain, Sandhya and Jain, Lakhmi C. (editors), Studies in Fuzzi- ness and Soft Computing., Vol. 96, pages 71--99, Physica-Verlag, 2002.
Morik/etal/2002b Morik, Katharina and Hüppe, Christian and Unterstein, Klaus. End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. In Karagiannis, Reimer (editors), Practical Aspects of Knowledge Management, pages 232 -- 243, Springer, 2002.
Morik/etal/2003c Morik, Katharina and Hüppe, Christian and Unterstein, Klaus. End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. In Int. Journal of Intelligent Systems in Accounting, Finance, and Management, 2002.
Morik/Rueping/2002a Morik, Katharina and Rüping, Stefan. A Multistrategy Approach to the Classification of Phases in Business Cycles. In Elomaa, Taprio and Mannila, Heikki and Toivonen, Hannu (editors), Machine Learning: ECML 2002, Vol. 2430, pages 307--318, Berlin, Springer, 2002.
Novak/etal/2002a Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Schneider, Martin and Wurst, Michael and Morik, Katharina and Ziegler, Jurgen and Kunz, Christoph. Augmenting the knowledge bandwidth and connecting heterogeneous communities through uncovering tacit knowledge. In Proceedings of the IEEE Workshop on Knowledge Media Networking (KMN 2002), 2002.
Scholz/2002a Scholz, Martin. Using real world data for modeling a protocol for ICU monitoring. In Lucas, Peter and Asker, Lars and Miksch, Silvia (editors), Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP 2002), at 15th European Conference on Artificial Intelligence, pages 85--90, Lyon, France, 2002.
Haustein/2001c Stefan Haustein. Utilising an Ontology Based Repository to Connect Web Miners and Application Agents. In Proceedings of the ECML/PKDD Workshop on Semantic Web Mining, 2001.
Klinkenberg/2001a Klinkenberg, Ralf. Using Labeled and Unlabeled Data to Learn Drifting Concepts. In Kubat, Miroslav and Morik, Katharina (editors), Workshop notes of the IJCAI-01 Workshop on \em Learning from Temporal and Spatial Data, pages 16--24, IJCAI, Menlo Park, CA, USA, AAAI Press, 2001.
Scholz/Haustein/2001b Scholz, Martin and Haustein, Stefan. The MLnet II Training Interactive AI Resources. In Proceedings of the IJCAI 2001 Workshop on Interactive AI Resources, 2001.
Haustein/etal/2000a Stefan Haustein and Sascha Ludecke and Christian Schwering. The Knowledge Agency. In Carles Sierra and Maria Gini and Jeffrey S. Rosenschein (editors), Proceedings of the Forth International Conference on Autonomous Agents, pages 205 -- 206, ACM SIGART, Barcelona, Spain, ACM Press, New York, 2000.
Haustein/Luedecke/2000a Stefan Haustein and Sascha Ludecke. Towards Information Agent Interoperability. In Mathias Klusch and Larry Kerschberg (editors), Cooperative Information Agents IV -- The Future of Information Agents in Cyberspace, Vol. 1860, pages 208 -- 219, Boston, USA, Springer, 2000.
Imhoff/etal/2000a Imhoff, Michael and Gather, Ursula and Morik, Katharina. Dynamic Knowledge Discovery and Validation for Medical Decision Support. In Healthcare Information and Management Society 2000, Dallas, 2000.
Klinkenberg/Joachims/2000a Klinkenberg, Ralf and Joachims, Thorsten. Detecting Concept Drift with Support Vector Machines. In Langley, Pat (editors), Proceedings of the Seventeenth International Conference on Machine Learning (ICML), pages 487--494, San Francisco, CA, USA, Morgan Kaufmann, 2000.
Morik/2000a Morik, Katharina. The Representation Race - Preprocessing for Handling Time Phenomena. In Ramon L\'opez de M\'antaras and Enric Plaza (editors), ECML '00: Proceedings of the 11th European Conference on Machine Learning, Vol. 1810, pages 4--19, Berlin, Heidelberg, New York, Springer, 2000.
Morik/etal/2000a Morik, Katharina and Imhoff, Michael and Brockhausen, Peter and Joachims, Thorsten and Gather, Ursula. Knowledge Discovery and Knowledge Validation in Intensive Care. In Artificial Intelligence in Medicine, Vol. 19, No. 3, pages 225--249, 2000.
Morik/Haustein/2000a Morik, Katharina and Haustein, Stefan. The Challenge of Discovering Meta--Data. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, American Association for Artificial Intelligence (AAAI), AAAI press, 2000.
Wrobel/etal/2000a Wrobel, Stephan and Morik, Katharina and Joachims, Thorsten. Maschinelles Lernen und Data Mining. In Görz, G. and Rollinger, C.-R. and Schneeberger, J (editors), Einführung in die Künstliche Intelligenz, pages 517--597, Oldenburg, 2000.
Brockhausen/99a Peter Brockhausen. Learning First Order Rules in Intensive Care Monitoring. In Sa\vso D\vzeroski and Peter Flach (editors), ILP--99 Late-Breaking Papers, pages 22--27, Bled, Slovenia, 1999.
Brockhausen/99b Peter Brockhausen. Learning First--Order Rules in Intensive Care Monitoring. In Petra Perner (editors), Maschinelles Lernen, FGML 99, pages 1--7, Leipzig, Institut fur Bildverarbeitung und angewandte Informatik, 1999.
Bullerdick/Ritthoff/99b Bullerdick,Kai and Ritthoff,Oliver. mAGENTa - Ein Internet-Agent zur automatischen Generierung von graphischen Benutzeroberflachen mittels maschineller Lernverfahren am Beispiel radiologischer Befunde. In Informatiktage 1999, Fachwissenschaftlicher Kongress, pages 64 -- 67, Bad Schussenried,Germany, Konradin-Verlag, 1999.
Haustein/Luedecke/99a Haustein, Stefan and Ludecke, Sascha. Kombination von Agenten- und Blackboard-Technologien fur betriebswirtschaftliche Anwendungen. In Proceedings des Workshops "Agententechnologie" auf der KI 99: Agententechnologie -- Multiagentensysteme in der Informationslogistik und wirtschaftswissenschaftliche Perspektiven der Agenten-Konzeptionalisierung, pages 9 -- 15, 1999.
Kaiser/etal/99a Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina. Learning in Human-Robot Communication. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer Academic Press, 1999.
Klingspor/Morik/99a Volker Klingspor and Morik, Katharina. Learning Understandable Concepts for Robot Navigation. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer, 1999.
Klingspor/Morik/99b Klingspor, Volker and Morik, Katharina. Towards Concept Formation Grounded on Perception and Action of an Autonomus Mobile Robot. In J. Dean and H. Cruse and H. Ritter (editors), Prerational Intelligence: Adaptive behavior and intelligent systems without symbols and logic. Vol. 2., Vol. 2, Kluwer Press, 1999.
Klingspor/Morik/99c Volker Klingspor and Morik, Katharina. Learning Operational Concepts as the Basis for Human-Robot Communication. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer, 1999.
Morik/99b Katharina Morik. Tailoring Representations to Different Requirements. In Osamu Watanabe and Takashi Yokomori (editors), Algorithmic Learning Theory -- Procs. 10th Int. Conf. ALT99, pages 1 -- 12, Springer, 1999.
Morik/etal/99a Morik, Katharina and Brockhausen, Peter and Joachims, Thorsten. Combining statistical learning with a knowledge-based approach -- A case study in intensive care monitoring. In ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning, pages 268--277, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., 1999.
Morik/etal/99b K. Morik and V. Klingspor and M. Kaiser. Making Robots Smarter -- Combining Sensing and Action through Robot Learning. Kluwer Academic Press, 1999.
Morik/etal/99c Morik, Katharina and Pigeotb, Iris and Robers, Ursula. CORA -- A knowledge-based system for the analysis of case-control studies. In Computer Methods and Programs in Biomedicine, Vol. 58, pages 35--50, Amsterdam, Elsevier, 1999.
Morik/Imhoff/99a Morik, Katharina and Imhoff, Michael. Vergleich medizinischen Wissens und des aus einer intensivmedizinischen Datenbank gewonnenen Wissens am Beispiel des haemodynamischen Monitorings. In W.Kuckelt and K.Hankeln (editors), 9th Int. Symposium on Indensive Care, Lengerich, Berlin, Riga, Scottsdale (Az.), Wien, Zagreb, Pabstscience Publishers, 1999.
Morik/Muehlenbrock/99a Morik, Katharina and Muehlenbrock, Martin. Conceptual Change in the Explanations of Phenomena in Astronomy. In Daniel Kayser and Stella Vosniadou (editors), Modelling Changes in Understanding, pages 138 -- 167, Pergamon, 1999.
Morik/Wessel/99a Morik, Katharina and Wessel, Stephanie. Incremental Signal to Symbol Processing. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, pages 185 --198, Kluwer Academic Publ., 1999.
Rieger/Klingspor/99a Rieger, Anke and Klingspor, Volker. Program Optimization for Real-Time Performance. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer Academic Press, 1999.
Brockhausen/Morik/98a Brockhausen, Peter and Morik, Katharina. Wissensentdeckung in relationalen Datenbanken: Eine Herausforderung für das maschinelle Lernen. In Gholamreza Nakhaeizadeh (editors), Data Mining, theoretische Aspekte und Anwendungen, pages 193--211, Physica Verlag, 1998.
Klinkenberg/Renz/98a Klinkenberg, Ralf and Renz, Ingrid. Adaptive Information Filtering: Learning in the Presence of Concept Drifts. In Sahami, Mehran and Craven, Mark and Joachims, Thorsten and McCallum, Andrew (editors), Workshop Notes of the ICML/AAAI-98 Workshop \em Learning for Text Categorization, pages 33--40, Menlo Park, CA, USA, AAAI Press, 1998.
Muehlenbrock/Morik/98a Mühlenbrock, Martin and Morik, Katharina. Rekonstruktion des Erwerbs einer Begriffsstruktur zur Erklärung des Tag/Nacht-Zyklus. In Kognitionswissenschaft, Vol. 2, 1998.
Rieger/Klingspor/98a Anke Rieger and Klingspor, Volker. Program Optimization for Real-Time Performance. In V. Klingspor and M. Kaiser and A. Giordana and H. van Brussel (editors), Making Robots Smart -- Behavioral Learning Combines Sensing and Action, Kluwer Academic Press, 1998.