J_rg-Uwe KietzDr. Jörg-Uwe Kietz

Zurich
Switzerland

E-Mail:    juk at kietz.ch

 

 

 

 

Research Interests
Curriculum vitae
Publications

 

 

Research Interests

My current and past research interests are mainly in the field of Machine Learning (ML) and Data Mining (DM) for Knowledge Discovery in Databases (KDD), they include:

·      Applications of ML/DM, esp. embedding them into business specific products

·      Computational learning theory

·      Multi-Relational Data Mining (MRDM), e.g. Induction of Logic Programs (ILP), Induction and Description Logic Ontology’s and Description Logic Programs

·      Multi-Strategy Learning

·      The pre-processing phase of the KDD-process

·      Data Mining, Intelligent Assistance for Data Mining via AI-Planning and case-based reasonining

·      Data Stream reasoning (Event Processing) and learning

 

 

Curriculum vitae

Born 18th September 1963, Berlin, Germany

Education

·      1981. Graduated from high school.

·      1989. Diplom-Informatiker (MSc in Computer Science).
Faculty of Computer Science, Technical University of Berlin, Germany.
Thesis I: Incremental and reversible acquisition of taxonomic knowledge.
Thesis II: Conceptual Clustering of KL-One Concept-hierachies.

·      1997. Dr.-Ing. (PhD) in Computer Science.
Faculty of Computer Science, Technical University of Berlin, Germany.
Thesis: Inductive Analysis of relational data.

Employment

·      1985 - 1986 Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik, Berlin, Germany. Research student in the project "Graphische Simulation NC-gesteuerter Drehmaschinen".

·      1986 - 1989 Technical University of Berlin, Berlin, Germany Research student  in the project "LERNER: Modellbildung durch Wissensakquisition und Maschinelles Lernen"

·      1989 - 1994 German National Research Center for Computer Science (GMD-FITKI, Now: FhG-AIS), Sankt Augustin, Germany. Researcher in the European Union ESPRIT-Research Projects "Machine Learning Toolbox" and "Inductive Logic Programming", involved in the development of the integrated Machine Learning and Knowledge Acquisition system "MOBAL".

·      1995 - 1997 Albers +   Fromberger OHG, Dortmund,Germany. Consultant and Software-Enggineer for the PPS-System "A+F Team".

·      1997 - 2002 Rentenanstalt/Swiss Life, Zürich, Switzerland. Senior researcher/project leader in the business process modelling and automation project Eule2, the Swiss Life Data Mining and Text Mining activities and the European Union IST-Project Mining Mart.

·      2002 - 2004 kdlabs AG, Zürich, Switzerland. Design and develop analytical products, i.e. incorporate data mining into products for advanced business solutions, e.g. the money laundering detection solution kdprevent the customer satisfaction simulator kdimpact. Data Mining service projects in the areas of analytical CRM, e.g. cross-selling, customer/employee satisfaction analysis, web-usage mining.

·      2009 – June 2014 senior researcher at the Dynamic and Distributed Information Systems Group (DDIS) of the Department of Informatics at University of Zurich working in the European Union FP7 Collaborative Research Project e-LICO on end-user support for Data Mining, i.e. combining planning, case-based reasoning and meta-learning into a collaborative KDD process assistant and in the European Union FP7 Project ViSTA-TV to generate data describing live TV programming together with consumers’ anonymized viewing behavior.   

Teaching

·      Since WS 2000/2001 (currently each Spring Semester): Course on  "Data Mining for knowledge discovery in databases" at the Institute for Computer Science of the Univ. of Zürich,  (2000-2004 together with M. Staudt).

·      Fall 2010 Seminar (with Floarea Serban and Abraham Bernstein): Intelligent Assistants

Activities

·      Member of the Editorial Board of Intelligent Data Analysis. An international journal published in print and electronically.

·      Program Chair of the Planning to Learn (PlanLearn 2010) Workshop at ECAI 2010, the Planning to Learn and Service-Oriented Knowledge Discovery Workshop (PlanSoKD 2011) at ECML/PKDD 2011 and the Planning to Learn (PlanLearn 2012) Workshop at ECAI 2012.

·      PC member of the Extended Semantic Web Conference (2011, 2012)

·      PC member of the International Conference on Machine Learning (ICML 2010)

·      PC member of the Asian Conference on Machine Learning (ACML'09)

·      PC member of IEEE Second International Workshop on Semantic Aspects in  Data Mining (SADM’09)

·      PC member of the European Conference on Principles of Knowledge Discovery from Databases (PKDD 2001, 2002, 2003, 2004, 2005)

·      PC member of the IEEE International Conference on Data Mining (ICDM 2001, 2004)

·      PC member of the International Conference on Inductive Logic Programming (ILP 1994, 2000, 2001, 2002, 2003, 2004, 2005, 2011)

·      PC member of the International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (2004)

·      PC member of the Ontology Learning Workshop (OL 2000, 2001)

·      PC member of the Semantic WEB Mining Workshop (SEMWEB 2002)

·      PC member of the European Web Mining Forum (EWMF 2003)

·      PC member of the ECAI-2004 Workshop on Ontology Learning and Population (OLP 2004)

·      PC member of the Multi-Relational Data Mining Workshop (MRDM 2001, 2003, 2004)

·      Reviews for international journals (Machine Learning Journal, Artificial Intelligence Journal, Knowledge and Information Systems)

·      Invited Talk at the 5th International Workshop in Multistrategy Learning (MSL-2000)

·      Invited Talk at the 2nd Learning Language in Logic Workshop (LLL-2000)

 

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Publications

·      Jörg-Uwe Kietz: Incremental and Reversible Acquisition of Taxonomies, In Proc. of the European Knowledge Acquisition Workshop (EKAW-88), pages 24.1-24.11, 1988.

·      Katharina Morik and Jörg-Uwe Kietz:. A Bootstrapping Approach to Conceptual Clustering, In Proc. Sixth Intern. Workshop on Machine Learning, 1989.

·      Jörg-Uwe Kietz: Conceptual Clustering von KL-ONE Konzepthierarchien, Arbeitspapiere der GMD 452, GMD, St. Augustin, June 1990,  (in german).

·      Jörg-Uwe Kietz and Katharina Morik: Constructive Induction: Learning Concepts for Learning. Arbeitspapiere der GMD 543, GMD, St. Augustin, 1991. Presented at the Workshop on Concept Formation in Man and Machine, May 1991.

·      Jörg-Uwe Kietz and Katharina Morik: Constructive Induction of Background Knowledge, In Proc. of Workshop W8 at the 12th IJCAI-91: Evaluating and changing representations in machine learning, 1991.

·      Jörg-Uwe Kietz: Learning Terminological Knowledge, In Christof Peltason, Kai von Luck, and Carsten Kindermann (eds.): Terminological Logic Users Workshop, Dec 1991. KIT-Report 95, TU Berlin.

·      Jörg-Uwe Kietz and Stefan Wrobel: Controlling the Complexity of Learning in Logic through Syntactic and Task-Oriented Models, In Stephen Muggleton: (ed.), Inductive Logic Programming, chapter 16, pages 335 - 359. Academic Press, London, 1992.

·      Jörg-Uwe Kietz: A Comparative Study of Structural Most Specific Generalisations Used In Machine Learning, In Proc. of the Third International Workshop on Inductive Logic Programming, pages 149 - 164, Ljubljana, Slovenia, 1993.

·      Jörg-Uwe Kietz: Some Lower Bounds for the Computational Complexity of Inductive Logic Programming, In Proc. of the Sixth European Conference on Machine Learning (ECML-93), pages 115 - 123, , Springer Verlag, 1993.

·      Katharina. Morik, Stefan Wrobel, Jörg-Uwe Kietz, and Werner Emde: Knowledge Acquisition and Machine Learning: Theory Methods and Applications, Academic Press, London, New York,1993.

·      Edgar Sommer, Werner Emde, Jörg-Uwe Kietz, Katharina Morik and Stefan Wrobel: MOBAL 2.2 User Guide, Arbeitspapiere der GMD 777, GMD, St. Augustin, 1993. Together with MOBAL accessible via anonymous FTP at ftp.gmd.de/gmd/mlt/Mobal/

·      Werner Emde, Jörg-Uwe Kietz, Edgar Sommer, Stefan Wrobel: Cooperation between internal and external learning modules in Mobal: different facets of multistrategy learning, MLnet familiarization workshop on multistrategy learning, Blanes, Spain, Sept, 1993.

·      Jörg-Uwe Kietz and Saso Dzeroski: Inductive Logic Programming and Learnability, SIGART Bulletin, 5(1):22 - 32, 1994.

·      Jörg-Uwe Kietz and Katharina Morik: A Polynomial Approach to the Constructive Induction of Structural Knowledge, Machine Learning Journal, Vol. 14, pp. 193-217, 1994.

·      Jörg-Uwe Kietz and Marcus Lübbe: An Efficient Subsumption Algorithm for Inductive Logic Programming, In: W Cohen, H. Hirsh (eds), Machine Learning: Proc. of the 11th Int. Conf. on Machine Learning (IML94), Morgan Kaufmann Publishers, San Francisco, CA, 1994.

·      Jörg-Uwe Kietz: Induktive Analyse Relationaler Daten, Ph.D. Thesis, Technical University of Berlin, 1996, (in german).

·      Jörg-Uwe Kietz, Ulrich Reimer and Martin Staudt: Mining Insurance Data at Swiss Life, In: Proc. of the 23rd VLDB Conf., Athen, 1997.

·      Martin Staudt, Jörg-Uwe Kietz, and Ulrich Reimer: ADLER: An Environment for Mining Insurance Data, In: Proc. 4th Int.Workshop Knowledge Representation meets Databases (KRDB'97), 1997.

·      Martin Staudt, Jörg-Uwe Kietz, and Ulrich Reimer: A Data Mining Support Environment and its Application on Insurance Data, In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1998.

·      Jörg-Uwe Kietz, Regina Zücker, and Anca Vaduva: Mining Mart: Combining Case-Based-Reasoning and Multi-Strategy Learning into a Framework for Reusing KDD-Applications, In: Proc. of the 5th Int. Conf. on Multi-Strategy Learning, Porto, May 2000.

·      Jörg-Uwe Kietz, Raphael Volz, and Alexander Maedche: Extracting a Domain-Specific Ontology from a Corporate Intranet, In: Proc of  the 2nd Learning Language in Logic (LLL) Workshop, Lissabon, September 2000

·      Regina Zücker and Jörg-Uwe Kietz: How to Preprocess Large Databases, In: Proc. of the Proc of the Workshop on Data Mining, Decision Support, Meta-learning and ILP (DDMI2000) at the PKDD'2000, Lyon, 2000.

·      Jörg-Uwe Kietz, Alexander Maedche, and Raphael Volz: A Method for Semi-Automatic Ontology Acquisition from a Corporate Intranet, In: Proc. of  the EKAW'2000 Workshop "Ontologies and Texts", 2000.

·      Anca Vaduva, Jörg-Uwe Kietz, Regina Zücker, and Klaus R. Dittrich: M4- The Mining Mart MetaModel, Technical Report, No. ifi-2001.02, Institute for Computer Science, Univ. Zürich, 2001.

·      Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer: Access to Heterogeneous Data Sources for Supporting Business Process Execution, In: Proc. ACM Symposium on Applied Computing (SAC'01), 2001.

·      Regina Zücker, Jörg-Uwe Kietz, Anca Vaduva: Mining Mart: Metadata-Driven Preprocessing at the ECML/PKDD'2001 Workshop "Database Support for KDD", Freiburg, 2001.

·      Anca Vaduva, Jörg-Uwe Kietz, Regina Zücker: M4 a Metamodel for Data Preprocessing, In: Proc. of the ACM Fourth International Workshop on DATA WAREHOUSING AND OLAP (DOLAP 2001), Atlanta, GA, USA, 2001.

·      Jörg-Uwe Kietz: Learnability of Description Logic Programs, In: S. Matwin, C. Sammut (ed.), Proc of the 12th Int. Conf. on Inductive Logic Programming, ILP-2002, Sydney, Australia, Springer Verlag, 2002. (Extended Technical Report)

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein and Simon Fischer: “Towards Cooperative Planning of Data Mining Workflows”, In: Proc of the ECML/PKDD09 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD-09).

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein and Simon Fischer: “Data Mining Workflow Templates for Intelligent Discovery Assistance and Auto-Experimentation”, In: Proc of the ECML/PKDD10 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD-10).

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein, eProPlan: a tool to model automatic generation of data mining workflows, In: 3rd Planning to Learn Workshop (WS9) at ECAI'10, 2010-08-16. (Conference or Workshop Paper published in Proceedings)

·      Floarea Serban, Jörg-Uwe Kietz, Abraham Bernstein, An overview of intelligent data assistants for data analysis, In: 3rd Planning to Learn Workshop (WS9) at ECAI'10, 2010-08-16. (Conference or Workshop Paper published in Proceedings)

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein, S Fischer, Data mining workflow templates for intelligent discovery assistance and auto-experimentation, In: Proc of the ECML/PKDD'10 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD'10), 2010-09-20. (Conference or Workshop Paper published in Proceedings)

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein, Simon Fischer, Designing KDD-Workflows via HTN-Planning, In: European Conference on Artificial Intelligence, Systems Demos, IOS Press, 2012-08-27. (Conference or Workshop Paper)

·      Jörg-Uwe Kietz, Floarea Serban, Abraham Bernstein, Simon Fischer, Designing KDD-Workflows via HTN-Planning for Intelligent Discovery Assistance, In: Planning to Learn 2012, Workshop at ECAI 2012, CEUR Workshop Proceedings, 2012-08-28. (Conference or Workshop Paper published in Proceedings)

·      Jörg-Uwe Kietz, Thomas Scharrenbach, Lorenz Fischer, Minh Khoa Nguyen, Abraham Bernstein, TEF-SPARQL: The DDIS query-language for time annotated event and fact Triple-Streams, No. IFI-2013.07, Version: 1, 2013. (Technical Report)

·      Floarea Serban, Joaquin Vanschoren, Jörg-Uwe Kietz, Abraham Bernstein, A survey of intelligent assistants for data analysis, ACM Computing Surveys, Vol. 45 (3), 2013. (Journal Article)

·      Jörg-Uwe Kietz, Floarea Serban, Simon Fischer, Abraham Bernstein, “Semantics Inside!” But let’s not tell the Data Miners: Intelligent Support for Data Mining, In: European Semantic Web Conference ESWC 2014, Springer, 2014-05-25. (Conference or Workshop Paper published in Proceedings)

 

 

Last Revision: 25 June 2014, Jörg-Uwe Kietz