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.
| 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,
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Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence.
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Detecting Interesting Instances.
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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.
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Morik, Katharina and Huppe, Christian and Unterstein, Klaus.
End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management.
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Morik, Katharina and Huppe, Christian and Unterstein, Klaus.
End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management.
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Morik, Katharina and Rüping, Stefan.
A Multistrategy Approach to the Classification of Phases in Business Cycles.
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| 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.
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Scholz, Martin.
Using real world data for modeling a protocol for ICU monitoring.
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Stefan Haustein.
Utilising an Ontology Based Repository to Connect Web Miners and Application Agents.
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Klinkenberg, Ralf.
Using Labeled and Unlabeled Data to Learn Drifting Concepts.
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pages 16--24,
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Scholz, Martin and Haustein, Stefan.
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Stefan Haustein and Sascha Ludecke and Christian Schwering.
The Knowledge Agency.
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Towards Information Agent Interoperability.
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| Imhoff/etal/2000a |
Imhoff, Michael and Gather, Ursula and Morik, Katharina.
Dynamic Knowledge Discovery and Validation for Medical Decision Support.
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Klinkenberg, Ralf and Joachims, Thorsten.
Detecting Concept Drift with Support Vector Machines.
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Morik, Katharina.
The Representation Race - Preprocessing for Handling Time Phenomena.
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| 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.
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Morik, Katharina and Haustein, Stefan.
The Challenge of Discovering Meta--Data.
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Wrobel, Stephan and Morik, Katharina and Joachims, Thorsten.
Maschinelles Lernen und Data Mining.
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Peter Brockhausen.
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Peter Brockhausen.
Learning First--Order Rules in Intensive Care Monitoring.
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|
| 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.
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Haustein, Stefan and Ludecke, Sascha.
Kombination von Agenten- und Blackboard-Technologien fur betriebswirtschaftliche Anwendungen.
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| Kaiser/etal/99a |
Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina.
Learning in Human-Robot Communication.
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| Klingspor/Morik/99a |
Volker Klingspor and Morik, Katharina.
Learning Understandable Concepts for Robot Navigation.
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|
| Klingspor/Morik/99b |
Klingspor, Volker and Morik, Katharina.
Towards Concept Formation Grounded on Perception and Action of an Autonomus Mobile Robot.
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| Klingspor/Morik/99c |
Volker Klingspor and Morik, Katharina.
Learning Operational Concepts as the Basis for Human-Robot Communication.
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| Morik/99b |
Katharina Morik.
Tailoring Representations to Different Requirements.
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| 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.
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K. Morik and V. Klingspor and M. Kaiser (editors).
Making Robots Smarter -- Combining Sensing and Action through Robot Learning.
Kluwer Academic Press,
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| Morik/etal/99c |
Morika, Katharina and Pigeotb, Iris and Robers, Ursula.
CORA -- A knowledge-based system for the analysis of case-control studies.
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1999.
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| Morik/Imhoff/99a |
Morik, Katharina and Imhoff, Michael.
Vergleich medizinischen Wissens und des aus einer intensivmedizinischen Datenbank gewonnenen Wissens am Beispiel des haemodynamischen Monitorings.
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| Morik/Muehlenbrock/99a |
Morik, Katharina and Muehlenbrock, Martin.
Conceptual Change in the Explanations of Phenomena in Astronomy.
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| Morik/Wessel/99a |
Morik, Katharina and Wessel, Stephanie.
Incremental Signal to Symbol Processing.
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| Rieger/Klingspor/99a |
Rieger, Anke and Klingspor, Volker.
Program Optimization for Real-Time Performance.
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|
| Brockhausen/Morik/98a |
Brockhausen, Peter and Morik, Katharina.
Wissensentdeckung in relationalen Datenbanken: Eine Herausforderung fur das maschinelle Lernen.
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Data Mining, theoretische Aspekte und Anwendungen,
pages 193--211,
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|
| Kaiser/etal/98a |
Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina.
Learning in Human-Robot Communication.
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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.
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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.
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Anke Rieger and Klingspor, Volker.
Program Optimization for Real-Time Performance.
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| Bell/97a |
Siegfried Bell.
Entdeckung von Metadaten zur semantischen Anfrageoptimierung in relationalen Datenbanken.
52013 Aachen,
Shaker Verlag,
1997.
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| Kaiser/etal/97a |
M. Kaiser and V. Klingspor and H. Friedrich.
Human-Agent Interaction and Machine Learning.
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1997.
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V. Klingspor and J. Demiris and M. Kaiser.
Human-Robot-Communication and Machine Learning.
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1997.
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| Morik/97b |
Morik, Katharina.
Operationale Beschreibungen des Lernens.
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Die konstruierte Welt -- Theorie als Erzeugungsprinzip,
pages 115--129,
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1997.
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| Morik/97c |
Morik, Katharina.
Knowledge Discovery in Databases -- An Inductive Logic Programming Approach.
In
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pages 429--436,
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| Morik/Brockhausen/97a |
Morik, Katharina and Brockhausen, Peter.
A Multistrategy Approach to Relational Knowledge Discovery in Databases.
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1997.
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