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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

Bhaduri/Stolpe/2013a Bhaduri, Kanishka and Stolpe, Marco. Distributed Data Mining in Sensor Networks. In Aggarwal, Charu C. (editors), Managing and Mining Sensor Data, No. null, 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, No. null, pages 189--202, Berlin, Heidelberg, Springer, 2013.
Lee/Wright/2013a Lee, Sangkyun and Wright, StephenJ.. 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, No. null, 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 Proc. of the 46th CIRP Conf. on Manufacturing Systems, No. null, Elsevier, 2013.
Siedhoff/etal/2013a Siedhoff, Dominic and Libuschewski, Pascal and Weichert, Frank. Knowledge Extraction and Application in Biosensor Data Analysis. 2013.
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.
Lee/2012a Lee, Sangkyun. Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation. In German Conference on Artificial Intelligence (KI 2012), No. null, pages 229--232, 2012.
Lee/etal/2012a Lee, Sangkyun and Stolpe, Marco and Morik, Katharina. Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. In Peter Flach and Tijl De Bie and Nello Cristianini (editors), Machine Learning and Knowledge Discovery in Databases, Vol. 7524, pages 387--402, Berlin, Heidelberg, Springer, 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.
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, No. null, pages 393-398, CIRP, Berlin, Heidelberg, Springer, 2012.
Michaelis/etal/2012a Michaelis, Stefan and Piatkowski, Nico and Morik, Katharina. Predicting next network cell IDs for moving users with Discriminative and Generative Models. In Mobile Data Challenge by Nokia Workshop in conjunction with Int. Conf. on Pervasive Computing, 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.
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 (IID2012), No. null, 2012.
Piatkowski/etal/2012a Piatkowski, Nico and Lee, Sangkyun and Morik, Katharina. Spatio-Temporal Models For Sustainability. In Marwah, Manish and Ramakrishnan, Naren and Berges, Mario and Kolter, Zico (editors), Proceedings of the SustKDD Workshop within ACM KDD 2012, ACM, 2012.
Scheffer/Vahrenhold/2012a Christian Scheffer and Jan Vahrenhold. Approximating Geodesic Distances on 2-Manifolds in $R^3$. In Computational Geometry: Theory & Applications, 2012.
Baumbach/etal/2011a Baumbach, Jörg Ingo and Maddula, Sasidhar and Litterst, Patrick and Westhoff, Michael. Drug delivery related to metabolites in human breath – first results of long term clinical studies using MCC/IMS. 2011.
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.
Fricke/etal/2011a Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco and Streicher, Jochen. Towards Adjusting Mobile Devices To User's Behaviour. In Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin (editors), Analysis of Social Media and Ubiquitous Data, Vol. 6904, pages 99--118, Berlin, Heidelberg, Springer, 2011.
Jungermann/2011b Jungermann, Felix. Tree Kernel Usage in Naive Bayes Classifiers. In Proceedings of the LWA 2011, 2011.
Kreuder/etal/2011b Kreuder, A.-E. and Buchinger, H. and Kreuer, S. and Volk, Th. and Rupp, Kathrin and Maddula, Sasidhar and Baumbach, Jörg Ingo. Characterization of Opiates in Human Breath of Patients within Intensive Care Units. 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/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.
Morik/etal/2011a Morik, Katharina and Kaspari, Andreas and Wurst, Michael and Skirzynski, Marcin. Multi-objective frequent termset clustering. In Knowledge and Information Systems, 2011.
Piatkowski/2011c Piatkowski, Nico. Parallel Algorithms for GPU accelerated Probabilistic Inference. In Workshop on Big Learning, NIPS2011, 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 (COLISD2011), 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.
Rupp/etal/2011f Rupp, Kathrin and Maddula, Sasidhar and Baumbach, J. I.. Infections, drug delivery and metabolites detectable in human exhaled breath. 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/Morik/2011a Stolpe, Marco and Morik, Katharina. Learning from Label Proportions by Optimizing Cluster Model Selection. In Gunopulos, Dimitrios and Hofmann, Thomas and Malerba, Donato and Vazirgiannis, Michalis (editors), Machine Learning and Knowledge Discovery in Databases, Vol. 6913, pages 349--364, Berlin, Heidelberg, 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
 at AISTATS 2010, Vol. 16, pages 169–181, JMLR Workshop and Conference Proceedings, 2011.
Weichert/etal/2011a Weichert, Frank and Timm, Constantin and Gaspar, Marcel and Zybin, Alexander and Gurevich, Evgeny L. and Müller, Heinrich and Marwedel, Peter. GPGPU-basierte Echtzeitdetektion von Nanoobjekten mittels Plasmonen-unterstützter Mikroskopie. In Bildverarbeitung für die Medizin, pages 39 - 43, 2011.
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.
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.
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.; Metais, E.; Munoz, R.; 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 Proceedings of the 3rd Workshop on Statistical and Machine Learning Approaches to ARchitectures and CompilaTion (SMART), 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.
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.
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, Springer, 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.
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, 2007.
Flasch/etal/2006a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-based tagging for collaborative media organisation. In Proceedings of the ECML/PKDD workshop on Ubiquitous Knowledge Discovery for users, 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.
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/2005c Mierswa, Ingo and Morik, Katharina. Evolutionare Aufzucht von Methodenbaumen 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/2005a Morik, Katharina and Boulicaut, Jean-Francois and Siebes, Arno. Local Pattern Discovery. Springer, 2005.
Morik/etal/2005b Morik, K. and Schmidt-Traub, H. and Hicking, B. and Kopcke, H. and Mierswa, I.. Optimierung von Aufstellungsentwurfen fur Chemieanlagen. In Industriemanagement, Vol. 21, No. 3, pages 25--28, 2005.
Morik/etal/2005c Morik, Katharina and Boulicaut, Jean-Francois and Siebes, Arno. Local Pattern Detection. Vol. 3539, Springer, 2005.
Morik/Klingspor/2005a Morik, Katharina and Klingspor, Volker. Informatik kompakt. 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, Jorg. 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.
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, G. 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.
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, Thorsten and Imhoff, Michael and Brockhausen, Peter and Rüping, Stefan. 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), Computational Intelligence Processing in Medical Diagnosis, Vol. 96, pages 71--99, Physica-Verlag, 2002.
Morik/etal/2002b Morik, Katharina and Huppe, 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 Huppe, 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 G\"orz, G. and Rollinger, C.-R. and Schneeberger, J (editors), Einf\"uhrung in die K\"unstliche 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, Bled, Slowenien, Morgan Kaufmann Publishers Inc., 1999.
Morik/etal/99b K. Morik and V. Klingspor and M. Kaiser (editors). Making Robots Smarter -- Combining Sensing and Action through Robot Learning. Kluwer Academic Press, 1999.
Morik/etal/99c Morika, 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 M. Kaiser and V. Klingspor (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 fur das maschinelle Lernen. In Gholamreza Nakhaeizadeh (editors), Data Mining, theoretische Aspekte und Anwendungen, pages 193--211, Physica Verlag, 1998.
Kaiser/etal/98a Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina. Learning in Human-Robot Communication. In V. Klingspor and M. Kaiser and A. Giordana and H. van Brussel (editors), Making Robots Smart -- Behavioral Learning Combines Sensing and Action, pages 129 -- 136, Kluwer Academic Press, 1998.
Klingspor/98a Volker Klingspor. Reaktives Planen mit gelernten Begriffen. Univ. Dortmund, 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 Muhlenbrock, Martin and Morik, Katharina. Rekonstruktion des Erwerbs einer Begriffsstruktur zur Erlarung 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.
Bell/97a Siegfried Bell. Entdeckung von Metadaten zur semantischen Anfrageoptimierung in relationalen Datenbanken. 52013 Aachen, Shaker Verlag, 1997.
Kaiser/etal/97a M. Kaiser and V. Klingspor and H. Friedrich. Human-Agent Interaction and Machine Learning. In Procs. 9th European Conference on Machine Learning, pages 345--352, Springer, 1997.
Klingspor/etal/97a V. Klingspor and J. Demiris and M. Kaiser. Human-Robot-Communication and Machine Learning. In Applied Artificial Intelligence, Vol. 11, No. 7/8, pages 719--746, 1997.
Morik/97b Morik, Katharina. Operationale Beschreibungen des Lernens. In F. Rapp (editors), Die konstruierte Welt -- Theorie als Erzeugungsprinzip, pages 115--129, Projekt Verlag, 1997.
Morik/97c Morik, Katharina. Knowledge Discovery in Databases -- An Inductive Logic Programming Approach. In Freksa, Jantzen and Valk (editors), Foundations of Computer Science -- Theory, Cognition, Applications, pages 429--436, Springer, 1997.
Morik/Brockhausen/97a Morik, Katharina and Brockhausen, Peter. A Multistrategy Approach to Relational Knowledge Discovery in Databases. In Machine Learning Journal, Vol. 27, No. 3, pages 287--312, Kluwer, 1997.