Luc Dehaspe 

Index:

Publications

Software

Biographical Material

Publications (until mid 2000, see PharmaDM publications page for more recent additions)

• L. Dehaspe, H. Blockeel, A. Clare, M. Engels, A. Karwath, R.D. King, and A. Srinivasan. ``A novel data mining method for functional genomics and drug design''.  Drug Discovery Technology 2000, Boston.
• R.D. King, A. Karwath, A. Clare, and L. Dehaspe. ``Genome Scale Prediction of Protein Functional Class from Sequence using Data Mining''. In: Proceedings of the International Conference on Knowledge Discovery in Databases - Industrial Track (KDD-IT2000), to appear.
• L. Dehaspe and H. Toivonen.  ``Discovery of Relational Association Rules'', In N. Lavrac and S. Dzeroski, eds, Relational Data Mining, to appear, Springer-Verlag, 2000.
• H. Blockeel, L. Dehaspe, B. Demoen, G. Janssens, J. Ramon, and H. Vandecasteele,  ``Executing query packs in ILP'',  In:  Proceedings of ILP2000 - 10th International Conference on Inductive Logic Programming, 2000, to appear.
• J. Ramon, and L. Dehaspe, ``Using belief networks to neutralize known dependencies in conceptual clustering'', In: Proceedings of MSL2000 - Fifth International workshop on Multistrategy Learning, 2000, to appear.

Also in:
• Proceedings of ILP2000 - Tenth International Conference on Inductive Logic Programming, Work in Progress track, 2000, accepted.
• L. Dehaspe and M. Forrier. ``Transformation-based learning meets frequent pattern discovery'', In J. Cussens, ed., Proceedings of the Language Logic and Learning Workshop, pp. 40-52. Bled, 1999.
• L. Dehaspe and H. Toivonen. ``Discovery of frequent Datalog patterns'', Data Mining and Knowledge Discovery 3(1): 7-36, 1999. [abstract]
• L. Dehaspe. ``Frequent pattern discovery in first-order logic'', Ph.D. Dissertation, K.U.Leuven, December 1998. [abstract]
• L. Dehaspe, H. Toivonen, and R. D. King. ``Finding frequent substructures in chemical compounds'', In R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, eds., Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD-98), pages 30-36. New York, New York: AAAI Press. Copyright © 1998, American Association for Artificial Intelligence. All rights reserved." [abstract, postscript, pdf, Powerpoint97-slides]
Winner KDD-98 Best Applied Research Paper Award.

Also in:
• Proceedings of the AAAI Spring Symposium on Predictive Toxicology of Chemicals: experiences and impact of AI tools, pages 78-81. Technical Report SS-99-01. AAAI-Press, 1999.
• Proceedings of the Eighth Belgian-Dutch Conference on Machine Learning (BENELEARN-98) , pages 21-30, 1998.
• L. De Raedt, H. Blockeel, L. Dehaspe, and W. Van Laer. ``Three companions for first order data mining'', In N. Lavrac and S. Dzeroski, eds, Inductive Logic Programming for Knowledge Discovery in Databases, Lecture Notes in Artificial Intelligence, to appear, Springer-Verlag, 2000. [abstract]
• L. De Raedt and L. Dehaspe. ``Clausal discovery'', Machine Learning , 26:99-146, 1997. [abstract]
• L. Dehaspe.``Maximum entropy modeling with clausal constraints'', In Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 109-125. Springer-Verlag, 1997. [abstract]

Also in:
• Proceedings of the Seventh Belgian-Dutch Conference on Machine Learning (BENELEARN-97), pages 15-29, 1997.
• Proceedings of the IJCAI'97 Workshop on Frontiers of Inductive Logic Programming, 1997.
• L. Dehaspe and L. De Raedt.``Mining association rules with multiple relations'', In Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 125-132. Springer-Verlag, 1997. [abstract]

Also in:
• Proceedings of the Ninth Dutch Conference on Artificial Intelligence (NAIC-97), pages 343-353, 1997.
• L. De Raedt and L. Dehaspe.``Learning from satisfiability'', In Proceedings of the Ninth Dutch Conference on Artificial Intelligence (NAIC'97), pages 303-312, 1997. [abstract]
• L. Dehaspe and L. De Raedt.``DLAB: A declarative language bias formalism'', In Proceedings of the International Symposium on Methodologies for Intelligent Systems (ISMIS96), volume 1079 of Lecture Notes in Artificial Intelligence, pages 613-622. Springer-Verlag, 1996. [abstract]
• L. Dehaspe and L. De Raedt.``Parallel Inductive Logic Programming'', In Proceedings of the MLnet Familiarization Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases, pages 112-117, 1995. [abstract, a longer version is also available]
• L. Dehaspe, H. Blockeel, and L. De Raedt.``Induction, logic and natural language processing. In Proceedings of the joint ELSNET/COMPULOG-NET/EAGLES Workshop on Computational Logic for Natural Language Processing (CLNLP-95), South Queensferry, Scotland, 1995.
• S. Dzeroski, L. Dehaspe, B. Ruck, and W. Walley. ``Classification of river water quality data using machine learning''. In Proceedings of the 5th International Conference on the Development and Application of Computer Techniques to Environmental Studies, 1994.
• L. Dehaspe, W. Van Laer, and L. De Raedt.``Applications of a logical discovery engine'', In Proceedings of the 4th International Workshop on Inductive Logic Programming, pages 291-304, 1994. [abstract]

Software

• Claudien

the Clausal Discovery Engine
• Dlab

a Declarative Language Bias
• Warmr

for mining frequent patterns and association rules over multiple relations
Available for academic purposes upon request.
• Maccent

Maximum Entropy Modeling
Available for academic purposes upon request.

Biographical Material