Dr. Jörg-Uwe Kietz
Zurich
Switzerland
E-Mail: juk at kietz.ch
Research Interests
Curriculum vitae
Publications
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
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)
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)
