Business Intelligence

K.U.Leuven

FBE

Business Rules and Business Intelligence

Business knowledge systems and modeling, business rules, intelligent systems, agile business processes, knowledge discovery & data mining , validation and verification, decision tables.

	Research team

	Prof. Dr. J. Vanthienen, Dr. Ch. Mues, Dr. B. Baesens, J. Huysmans, S. Goedertier, Prof. Dr. M. Verhelst Address: K.U.Leuven Department of Applied Eonomics Naamsestraat 69 3000 Leuven (Belgium) Telephone: +32 (0)16 32 68 78
	The research team is part of the Leuven Institute for Research in Information Systems (LIRIS) of K.U.Leuven.

	See the list of Publications here.

True ignorance is not the absence of knowledge, but the refusal to acquire it - Karl Popper

For more information about knowledge discovery, also check: http://www.kdnuggets.com

Prologa (PROcedural LOGic Analyzer)

PROLOGA is a set of methods and tools for the specification, validation and implementation of business knowledge and business rules by means of decision tables.
See Product Information, Research area, a Rationale for PROLOGA, Short history.

Research Topics

Business knowledge systems, intelligent systems, knowledge modeling, business rules, soft computing, knowledge discovery, knowledge representation.

Verification and validation of knowledge-based systems (KBS), business rule modeling using decision table techniques (see the Prologa page), applications of binary decision diagram techniques in KBS research.

Credit Scoring and Risk Management, Customer Relationship Management (CRM), Classification, Machine Learning, Rule extraction, Survival analysis.

	Courses

	At our Faculty you find the Basic Academic Programmes (undergraduate) Licentiate in Economics, Licentiate in Applied Economics or Commercial Engineer, together with a series of advanced (graduate - master) Academic Programmes at our Graduate School of Business Studies.
	Specific course: D288 Business Intelligence

	Workshops
	2nd Credit Scoring Workshop Sept 25, 2003 (announcement, PDF)
	Credit Scoring Workshop March 11, 2003 (announcement, PDF)

	Research projects

- Agora, INFO-NS - "Intelligent" exploitation tools for non-structured information answering the needs of the federal police.

- FWO G.0615.05 Using business intelligence techniques for risk profiling of economic entities

- OT/03/12 Knowledge discovery for customer scoring using neural networks
and support vector machines, 01/10/2003-30/0912/2007

- DWTC, Agora, AG/01/082, Oprichting van een centrale databank voor veroordelingen bij de Directie Controle, 01/01/2003-31/12/2003

- OT/94/2 Development of methods for the design, validation and implementation of knowledge based information systems

- FWO G.0135.95 Development of methods for the design, validation and implementation of knowledge based information systems

	Sources on Knowledge Discovery

Books:

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Trevor Hastie, Robert Tibshirani, Jerome Friedman, Springer-Verlag, 2001

Credit Scoring and Its Applications, Lyn C. Thomas, David B. Edelman, and Jonathan N. Crook, Society for Industrial and Applied Mathematics, 2001.

Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber, The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8

Advances in Knowledge Discovery and Data Mining, Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, AAAI Press, 625 pp., ISBN 0-262-56097, 1996

Principles of Data Mining (Adaptive Computation and Machine Learning), David J. Hand, Heikki Mannila, Padhraic Smyth, MIT Press, 2001

NEWSFLASH

	2nd Credit Scoring Workshop Sept 25, 2003 (announcement, PDF)
	Baesens B., SETIONO R., MUES C., Vanthienen J., Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation, Management Science, Vol. 49, No. 3, March 2003, pp. 312-329. (Abstract)
	Business Rules and Decision Tables (PDF)
	Baesens B., Mues C., Vanthienen J., Knowledge Discovery in Data: naar performante én begrijpelijke modellen van bedrijfsintelligentie, Business In-zicht, No 12, maart 2003, pp. 1, 4. (Download PDF)

ACTIVITIES

EuroVaV-97

LINKS

	Faculty of Economics and Applied Economics
	LIRIS
	CTEO: Center for Applied Economic Research
	Our Bookmarks on KBS research centers, resources and journals
	Our Bookmarks on OO Development

MISCELLANEOUS

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