Fakultt fr Informatik
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Lehre

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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

KDD Process
Distributed Data Mining
Data Visualization

Application Areas

Other Applications

Resources

Projects
Software
Books
Phd Theses
Diploma Theses

Selected Publications

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. [.pdf] [.ps]
Mierswa/Wurst/2005c Mierswa, Ingo and Wurst, Michael. Efficient Case Based Feature Construction for Heterogeneous Learning Tasks. In J. Gama et al. (editors), Proc. of the European Conference on Machine Learning (ECML 2005), pages 641--648, Springer, 2005. [.pdf] [.ps]
Mierswa/Wurst/2005b Mierswa, Ingo and Wurst, Michael. Efficient Feature Construction by Meta Learning -- Guiding the Search in Meta Hypothesis Space. In Proc. of the International Conference on Machine Learning, Workshop on Meta Learning, 2005. [.pdf] [.ps]
Mierswa/Morik/2005b Mierswa, Ingo and Morik, Katharina. Method Trees: Building Blocks for Self-Organizable Representations of Value Series. In Proc. of the Genetic and Evolutionary Computation Conference GECCO 2005, Workshop on Self-Organization In Representations For Evolutionary Algorithms: Building complexity from simplicity, 2005. [.pdf] [.ps]
Mierswa/2005a Mierswa, Ingo. Incorporating Fuzzy Knowledge into Fitness: Multiobjective Evolutionary 3D Design of Process Plants. In Proc. of the Genetic and Evolutionary Computation Conference GECCO 2005, 2005. [.pdf] [.ps]
Scholz/2005d Scholz, Martin (2005). On the Tractability of Rule Discovery from Distributed Data. In Proc. of the 5th IEEE Int. Conf. on Data Mining (ICDM '05).
Scholz/Klinkenberg/2005a Scholz, Martin and Klinkenberg, Ralf (2005). An Ensemble Classifier for Drifting Concepts. In Gama, J. and Aguilar-Ruiz, J. S., editor(s), Proc. of the 2nd Int. Workshop on Knowledge Discovery in Data Stream at ECML/PKDD, pages 53--64, Porto, Portugal. [.pdf]
Scholz/2005b Scholz, Martin (2005). Sampling-Based Sequential Subgroup Mining. In Grossman, R. L. and Bayardo, R. and Bennett, K. and Vaidya, J., editor(s), Proc. of the 11th ACM SIGKDD Int. Conf. on Knowledge Discovery in Databases (KDD'05), pages 265--274, ACM press.
Scholz/2005a Scholz, Martin (2005). Knowledge-Based Sampling for Subgroup Discovery. In Morik, K. and Boulicaut, J.-F. and Siebes, A., editor(s), Local Pattern Detection, series Lecture Notes in Artificial Intelligence (LNAI 3539), pages 171--189, Springer. [.pdf]
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/Scholz/2004a Morik, Katharina and Scholz, Martin (2004). The MiningMart Approach to Knowledge Discovery in Databases. In Zhong, N. and Liu, J., editor(s), Intelligent Technologies for Information Analysis, pages 47--65, Springer. [.pdf]
Haustein/etal/2003a Stefan Haustein and Katharina Morik and Jörg Pleumann (2003). The InfoLayer - A Simple Knowledge Management System Put To Use in Academica. In I-Know-03. Springer. [.ps.gz] [.pdf]
Klinkenberg/Rueping/2003a Klinkenberg, Ralf and Rüping, Stefan (2003). Concept Drift and the Importance of Examples. In Text Mining -- Theoretical Aspects and Applications, pages 55-77. Physica-Verlag.
Ritthoff/Klinkenberg/2003a Ritthoff, Oliver and Klinkenberg, Ralf (2003). Evolutionary Feature Space Transformation using Type-Restricted Generators. In Cantu-Paz, E. et al., editor(s), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003) - Part II in series Lecture Notes in Computer Science (LNCS 2724), pages 1606--1607. Springer-Verlag. [.ps] [.pdf]
Rueping/Morik/2003a Rüping, Stefan and Morik, Katharina (2003). Support Vector Machines and Learning about Time. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03). .
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. (2002). Novel Learning Tasks, Optimization, and Their Application. In Advances in Computational Intelligence -- Theory and Practice, chapter 8, pages 245--318. Springer.
Haustein/Pleumann/2002a Stefan Haustein and Jörg Pleumann (2002). Easing Participation in the Semantic Web. In International Workshop on the Semantic Web at WWW2002. [.pdf]
Haustein/Pleumann/2002b Stefan Haustein and Jörg Pleumann (2002). Is Participation in the Semantic Web Too Difficult?. In I. Horrocks and J. Hendler, editor(s), The Semantic Web - First International Semantic Web Conference number 2342 in series LNCS, pages 448 ff.. Springer, Heidelberg. [.ps] [.pdf]
Kleiner/etal/2002a Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O. (2002). Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence. Industrie Management, (6):29--32.
Morik/2002a Morik, Katharina (2002). Detecting Interesting Instances. In Hand, David J. and Adams, Niall M. and Bolton, Richard J., editor(s), Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery in series LNAI, pages 13-23. Springer Verlag. [.ps] [.pdf]
Morik/Rueping/2002a Morik, Katharina and Rueping, Stefan (2002). A Multistrategy Approach to the Classification of Phases in Business Cycles. In Elomaa, Taprio and Mannila, Heikki and Toivonen, Hannu, editor(s), Machine Learning: ECML 2002 in series Lecture Notes in Artificial Intelligence, pages 307--318. Springer. [.ps] [.pdf]
Morik/etal/2003c Morik, Katharina and Hüppe, Christian and Unterstein, Klaus (2002). End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. Int. Journal of Intelligent Systems in Accounting, Finance, and Management.
Novak/etal/2002a Jasminko Novak and Monika Fleischmann and Wolfgang Strauss and Martin Schneider and Michael Wurst and Katharina Morik and Jürgen Ziegler and Christoph Kunz (2002). Augmenting the knowledge bandwidth and connecting heterogeneous communities through uncovering tacit knowledge. In Proceedings of the IEEE Workshop on Knowledge Media Networking (KMN 2002). [.ps] [.pdf]
Scholz/2002a Scholz, Martin (2002). Using real world data for modeling a protocol for ICU monitoring. In Lucas, Peter and Asker, Lars and Miksch, Silvia, editor(s), Working notes of the IDAMAP 2002 workshop, pages 85--90. [.ps.gz] [.pdf]
Haustein/2001c Stefan Haustein (2001). Utilising an Ontology Based Repository to Connect Web Miners and Application Agents. In Proceedings of the ECML/PKDD Workshop on Semantic Web Mining. [.ps] [.pdf]
Klinkenberg/2001a Klinkenberg, Ralf (2001). Using Labeled and Unlabeled Data to Learn Drifting Concepts. In Kubat, Miroslav and Morik, Katharina, editor(s), Workshop notes of the IJCAI-01 Workshop on \em Learning from Temporal and Spatial Data, pages 16--24. AAAI Press. Held in conjunction with the International Joint Conference on Artificial Intelligence (IJCAI). [.ps.gz] [.pdf]
Scholz/Haustein/2001a Martin Scholz and Stefan Haustein (2001). The MLnet II Training Interactive AI Resources. In Proceedings of the IJCAI 2001 Workshop on Interactive AI Resources. [.ps] [.pdf]
Morik/etal/2000a Morik, Katharina and Imhoff, Michael and Brockhausen, Peter and Joachims, Thorsten and Gather, Ursula (2000). Knowledge Discovery and Knowledge Validation in Intensive Care. Artificial Intelligence in Medicine, 19 (3):225--249. [.ps.gz] [.pdf]
Morik/etal/99b K. Morik and V. Klingspor and M. Kaiser, editor(s) (1999). Making Robots Smarter -- Combining Sensing and Action through Robot Learning. Kluwer Academic Press.
Joachims/Mladenic/98a T. Joachims and D. Mladeni\`c (1998). Browsing-Assistenten, Tour Guides und adaptive WWW-Server. Künstliche Intelligenz, 3 (28):23 -- 29.
Klingspor/etal/97a V. Klingspor and J. Demiris and M. Kaiser (1997). Human-Robot-Communication and Machine Learning. Applied Artificial Intelligence, 11 (7/8):719--746. [.ps.gz] [.pdf]
Morik/Brockhausen/97a Morik, Katharina and Brockhausen, Peter (1997). A Multistrategy Approach to Relational Knowledge Discovery in Databases. Machine Learning Journal, 27 (3):287--312.
Klingspor/etal/96a Klingspor, Volker and Morik, Katharina and Rieger, Anke (1996). Learning Concepts from Sensor Data of a Mobile Robot. Machine Learning, 23 (2/3):305-332. [.ps.gz] [.pdf]
Kaiser/etal/95a M. Kaiser and V. Klingspor and J. del R. Mill\'an and M. Accame and F. Wallner and R. Dillmann (1995). Using Machine Learning Techniques in Real-World Mobile Robots. IEEE-Expert, 10 (2):37--45.
Kietz/Morik/94a Kietz, Jörg-Uwe and Morik,Katharina (1994). A Polynomial Approach to the Constructive Induction of Structural Knowledge. Machine Learning Journal, 14 (2):193 -- 217. [.pdf]
Sommer/etal/94a Edgar Sommer and Katharina Morik and Jean-Michel Andre and Marc Uszinsky (1994). What Online Machine Learning Can Do For Knowledge Acquisition - A Case Study. Knowledge Acquisition, 6 (4):435 -- 460.
Morik/93a Morik, Katharina (1993). Balanced Cooperative Modeling. Machine Learning, 11 pages 217--235.
Morik/91b Katharina Morik (1991). Underlying Assumptions of Knowledge Acquisition and Machine Learning. Knowledge Acquisition, 3 pages 137--156.
Morik/87a Katharina Morik (1987). Discourse Models, Dialog Memories, and User Models. Computational Linguistics, .
Morik/87d Katharina Morik (1987). Acquiring Domain Models. Intern. Journal of Man Machine Studies, 26 pages 93--104. auch erschienen in Knowledge Acquisition Tools for Expert Systems, volume 2, J. Boose, B. Gaines, Herausgeber, Academic Press, 1988.
Morik/86a Katharina Morik (1986). Acquiring Domain Models. International Journal of Man-Machine Studies, .
Morik/84b Katharina Morik (1984). Customers' Requirements for Natural Language Systems: Results of an Inquiry. International Journal of Man Machine Studies, .
Hoeppner/etal/83a Wolfgang Hoeppner and Katharina Morik (1983). Das Dialogsystem HAM-ANS: Worauf basiert es, wie funktioniert es und wem antwortet es?. Linguistische Berichte, (88).