SolEuNet publications by P.A. Flach

This is a list of all publications in the SolEuNet on-line library which are (co-)authored by P.A. Flach. The title of the article is a link to the full reference, including -- if provided by the author -- abstract and URL. It also allows easy access to related publications.

2002

Nada Lavrac, Peter Flach, Branko Kavsek, and Ljupco Todorovski. Adapting classification rule induction to subgroup discovery. In Proceedings of the 2002 IEEE International Conference on Data Mining, ICDM 2002, pages 266--273. IEEE, December 2002.
Tanja Urbancic, Maja Skrjanc, and Peter Flach. Web-based analysis of data mining and decision support education. In AI Communications, pages 1--6. IOS Press, December 2002.
Tanja Urbancic, Maja Skrjanc, and Peter Flach. State-of-the-art of data mining and decision support courses as seen on the web. In B. Rachev and A. Smrikarov, editors, Proceedings of the International Conference on Computer Systems and Technologies (e-Learning): CompSys Tech'2002, pages 331--336. Bulgarian Chapter of ACM-acmbul&UAI, December 2002.
Nada Lavrac, Peter Flach, Branko Kavsek, and Ljupco Todorovski. Rule Induction for Subgroup Discovery with CN2-SD. In Marko Bohanec, Dunja Mladenic, and Nada Lavrac, editors, ECML/PKDD'02 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, August 2002.
Shaomin Wu and Peter Flach. Feature selection with labelled and unlabelled data. In Marko Bohanec, Dunja Mladenic, and Nada Lavrac, editors, ECML/PKDD'02 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, August 2002.
Shaomin Wu and Peter Flach. Model Selection for Dynamic Processes. In Marko Bohanec, Dunja Mladenic, and Nada Lavrac, editors, ECML/PKDD'02 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, August 2002.
Cesar Ferri, Peter Flach, and Jose Hernandez-Orallo. Learning Decision Trees Using the Area Under the ROC curve. In Claude Sammut, editor, Proceedings of the 19th International Conference on Machine Learning. Morgan Kaufmann, July 2002.
Peter Flach and Nada Lavrac. Learning in clausal logic: a perspective on inductive logic programming, Antonis C. Kakas and Fariba Sadri, editors, volume 2407 of Lecture Notes in Computer Science, pages 437--471. Springer, July 2002.
Thomas Gaertner, John Lloyd, and Peter Flach. Kernels for Structured Data. In Stan Matwin and Claude Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming, July 2002.
Thomas Gaertner, Peter Flach, Adam Kowalczyk, and Alex Smola. Multi-Instance Kernels. In Claude Sammut, editor, Proceedings of the 19th International Conference on Machine Learning. Morgan Kaufmann, July 2002.
Nicolas Lachiche and Peter Flach. 1BC2: a True First-Order Bayesian Classifier. In Stan Matwin and Claude Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming, July 2002.
Nada Lavrac, Dragan Gamberger, and Peter Flach. Subgroup Discovery for Actionable Knowledge Generation: Shortcomings of Classification Rule Learning and the Lessons Learned. In Nada Lavrac, Hiroshi Motoda, and Tom Fawcett, editors, ICML'02 workshop on Data Mining: Lessons Learned, July 2002.
Nada Lavrac, Filip Zelezny, and Peter Flach. RSD: Relational subgroup discovery through first-order feature construction. In Stan Matwin and Claude Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming, July 2002.
Dunja Mladenic, Olga Stepankova, Johann Petrak, Jiri Palous, Mário Amado Alves, Alìpio Jorge, Damjan Bojadziev, and Peter Flach. Developing and maintaining an EU project Website. Technical Report, Solomon European Network, June 2002.

2001

Nada Lavrac and Peter Flach. An extended transformation approach to inductive logic programming. ACM transactions on computational logic, 2(4):458--494, October 2001.
Maja Skrjanc, Tanja Urbancic, and Peter Flach. Web-based overview of data mining and decision support courses. In Cene Bavec, Mojca Bernik, Marko Bohanec, Tomaz Domanjko, Sreco Dragan, Matjaz Gams, Marko Grobelnik, Marjan Hericko, Dunja Mladenic, Vladislav Rajkovic, Ivan Rozman, Franc Solina, Maja Skrjanc, Denis Trcek, and Tanja Urbancic, editors, Informacijska druzba IS '01: proceedings A of the 4th International Multi-conference, pages 90--94, Ljubljana, Slovenia, October 2001. Institut Jozef Stefan
Peter A. Flach and Dragan Gamberger. Subgroup evaluation and decision support for a direct mailing marketing problem. In Christophe Giraud-Carrier, Nada Lavrac, and Steve Moyle, editors, ECML/PKDD'01 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pages 45--56. ECML/PKDD'01 workshop notes, September 2001. More behind this link.
Thomas Gärtner, Shaomin Wu, and Peter A. Flach. Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results. In Christophe Giraud-Carrier, Nada Lavrac, and Steve Moyle, editors, ECML/PKDD'01 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pages 69--80. ECML/PKDD'01 workshop notes, September 2001. More behind this link.
Y. Peng and P. Flach. Soft Discretization to Enhance the Continuous Decision Tree Induction. In Christophe Giraud-Carrier, Nada Lavrac, and Steve Moyle, editors, ECML/PKDD'01 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pages 109--118. ECML/PKDD'01 workshop notes, September 2001. More behind this link.
Stefan Kramer, Nada Lavrac, and Peter Flach. Propositionalization approaches to relational data mining., [[Sa{s}o D{z}eroski]] and Nada Lavrac, editors, pages 262--291. Springer, August 2001.
Ljupco Todorovski, Irene Weber, Nada Lavrac, Olga Stepánkova, Saso Dzeroski, Dimitar Kazakov, Darko Zupanic, and Peter Flach. Internet resources on ILP for KDD, Saso Dzeroski and Nada Lavrac, editors, pages 375--388. Springer, August 2001.
Peter Flach, Dragan Gamberger, and Shaomin Wu. Subgroup discovery on Fructal data. Technical Report, Solomon European Network, August 2001. More behind this link.
Shaomin Wu and Peter Flach. Data mining on Thrombin dataset. Technical Report, Solomon European Network, August 2001. More behind this link.
Peter Flach and Dragan Gamberger. ROC analysis of Kline & Kline data. Technical Report, Solomon European Network, January 2001. More behind this link.

2000

Peter A. Flach. On the state of the art in Machine Learning: a personal review. Technical Report CSTR-00-018, Department of Computer Science, University of Bristol, December 2000. More behind this link.
Ljupco Todorovski, Peter Flach, and Nada Lavrac. Predictive Performance of Weighted Relative Accuracy. In Djamel A. Zighed, Jan Komorowski, and Jan Zytkow, editors, 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000), pages 255--264. Springer-Verlag, September 2000. More behind this link.
Peter Flach, Edward Ross, Maja Skrjanc, and Tanja Urbancic. Analysis of machine learning and decision support courses. Technical Report, August 2000.
Peter A. Flach and Nada Lavrac. The role of feature construction in inductive rule learning. In Luc De Raedt and Stefan Kramer, editors, Proceedings of the ICML2000 workshop on Attribute-Value and Relational Learning: crossing the boundaries, pages 1--11, Stanford, USA, July 2000. More behind this link.
Peter A. Flach and Nicolas Lachiche. Decomposing probability distributions on structured individuals. In Paula Brito, Joaquim Costa, and Donato Malerba, editors, Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics, pages 33--43, Barcelona, Spain, May 2000. More behind this link.