Publications about Predictive Clustering

H. Blockeel, L. De Raedt, and J. Ramon, Top-down induction of clustering trees, Proceedings of the 15th International Conference on Machine Learning (Shavlik, J., ed.), pp. 55-63, 1998 [ps.gz].
H. Blockeel, Top-down induction of first order logical decision trees, Ph.D. Thesis, Department of Computer Science, K.U.Leuven, Leuven, Belgium, December, 1998, 202+xv pages [ps.gz].
L. De Raedt, and H. Blockeel, Using logical decision trees for clustering, Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming (De Raedt, L. and Muggleton, S., eds.), pp. 1-17, 1997 [ps.gz].

Predictive Clustering Trees

B. Piccart, J. Struyf and H. Blockeel, Empirical asymmetric selective transfer in multi-objective decision trees. In J. Boulicaut, M. Berthold and T. Horváth, editors, Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings. Lecture Notes in Computer Science, volume 5255, pages 64-75, Springer, 2008, [BibTeX], [DOI].
D. Kocev, C. Vens, J. Struyf and S. Džeroski, Ensembles of multi-objective decision trees. In J. Kok, J. Koronacki, R. de Mántaras, S. Matwin, D. Mladenic and A. Skowron, editors, Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Proceedings. Lecture Notes in Computer Science, volume 4701, pages 624-631, Springer, 2007, [Abstract], [BibTeX], [DOI].

Predictive Clustering Rules

B. Ženko, Learning predictive clustering rules. Ph.D. Thesis, Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia, 2007, 147 pages.
B. Ženko and S. Džeroski, Learning classification rules for multiple target attributes. In T. Washio, E. Suzuki, K.M. Ting and A. Inokuchi, editors, Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008). Lecture Notes in Computer Science, volume 5012, pages 454-465, Springer, 2008, [BibTeX], [DOI].
B. Ženko, S. Džeroski and J. Struyf, Learning predictive clustering rules. In F. Bonchi and J. Boulicaut, editors, Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID'05, Revised, Selected and Invited Papers. Lecture Notes in Computer Science, volume 3933, pages 234-250, Springer, 2006, [Abstract], [BibTeX], [DOI].

Integrating Constraints in Predictive Clustering

J. Struyf and S. Džeroski, Clustering trees with instance level constraints. In J. Kok, J. Koronacki, R. de Mántaras, S. Matwin, D. Mladenic and A. Skowron, editors, Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Proceedings. Lecture Notes in Computer Science, volume 4701, pages 359-370, Springer, 2007, [Abstract], [BibTeX], [DOI].
D. Kocev, J. Struyf and S. Džeroski, Beam search induction and similarity constraints for predictive clustering trees. In S. Džeroski and J. Struyf, editors, Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers. Lecture Notes in Computer Science, volume 4747, pages 134-151, Springer, 2007, [Abstract], [BibTeX], [DOI].
J. Struyf and S. Džeroski, Constraint based induction of multi-objective regression trees. In F. Bonchi and J. Boulicaut, editors, Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID'05, Revised, Selected and Invited Papers. Lecture Notes in Computer Science, volume 3933, pages 222-233, Springer, 2006, [Abstract], [BibTeX], [DOI].
I. Slavkov, S. Džeroski, J. Struyf and S. Loskovska, Constrained clustering of gene expression profiles. In M. Grobelnik and D. Mladenic, editors, Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005) at the 7th International Multi-conference on Information Society 2005. pages 212-215, 2005, [Abstract], [BibTeX].
D. Kocev, S. Džeroski, J. Struyf and S. Loskovska, (Inductive) Quering environment for predictive clustering trees. In M. Kon-Popovska, K. Zdravkova and M. Gusev, editors, Proceedings of the 2nd Balkan Conference in Informatics. pages 193-200, 2005, [Abstract], [BibTeX].

Applications of Predictive Clustering

Multi-Objective Regression

D. Demšar, S. Džeroski, T. Larsen, J. Struyf, J. Axelsen, M. Bruus Pedersen and P. Henning Krogh, Using multi-objective classification to model communities of soil microarthropods. Ecological Modelling 191(1):131-143, 2006, [Abstract], [BibTeX].
H. Blockeel, S. Džeroski, and J. Grbovic, Simultaneous prediction of multiple chemical parameters of river water quality with TILDE, Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery (Zytkow, J.M. and Rauch, J., eds.), vol 1704, LNAI, pp. 32-40, 1999 [ps.gz].
H. Blockeel, and S. Džeroski, Experiments with TILDE in the river water quality domain, Institut J. Stefan, Ljubljana IJS-DP 8089, June, 1999 [ps.gz].

Hierarchical Multi-Label Classification in Functional Genomics

C. Vens, J. Struyf, L. Schietgat, S. Džeroski and H. Blockeel, Decision trees for hierarchical multi-label classification. Machine Learning 73(2):185-214, 2008, ISSN 0885-6125, [Abstract], [BibTeX], [DOI].
H. Blockeel, L. Schietgat, J. Struyf, S. Džeroski and A. Clare, Decision trees for hierarchical multilabel classification: A case study in functional genomics. In J. Fürnkranz, T. Scheffer and M. Spiliopoulou, editors, Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings. Lecture Notes in Computer Science, volume 4213, pages 18-29, Springer, 2006, ISSN 0302-9743 / ISBN 978-3-540-45374-1, [Abstract], [BibTeX], [PostScript], [DOI].
J. Struyf, S. Džeroski, H. Blockeel and A. Clare, Hierarchical multi-classification with predictive clustering trees in functional genomics. In C. Bento, A. Cardoso and G. Dias, editors, Progress in Artificial Intelligence: 12th Portugese Conference on Artificial Intelligence, EPIA 2005, Proceedings. Lecture Notes in Computer Science, volume 3808, pages 272-283, Springer, 2005, [Abstract], [BibTeX], [DOI].
J. Struyf, C. Vens, T. Croonenborghs, S. Džeroski and H. Blockeel, Applying predictive clustering trees to the inductive logic programming 2005 challenge data. In S. Kramer and B. Pfahringer, editors, Inductive Logic Programming, 15th International Conference, ILP 2005, Late-Breaking Papers, pages 111-116, Institut für Informatik der Technischen Universität München, 2005, [Abstract], [BibTeX].

Ranking

L. Todorovski, H. Blockeel, and S. Džeroski, Ranking with predictive clustering trees, Machine Learning: 13th European Conferende on Machine Learning, Proceedings (Elomaa, T. and Mannila, H. and Toivonen, H., eds.), vol 2430, Lecture Notes in Artificial Intelligence, pp. 444-456, 2002 [ps.gz].
S. Džeroski, L. Todorovski, and H. Blockeel, Relational ranking with predictive clustering trees, AM 2002, Proceedings of International Workshop on Active Mining (Motoda, H. and Washio, T., eds.), pp. 9-15, 2002, [Abstract].

Time Series

S. Džeroski, V. Gjorgjioski, I. Slavkov and J. Struyf, Analysis of time series data with predictive clustering trees. In S. Džeroski and J. Struyf, editors, Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers. Lecture Notes in Computer Science, volume 4747, pages 63-80, Springer, 2007, [Abstract], [BibTeX], [DOI].

Please contact Jan Struyf if you have a publication about predictive clustering that could be listed here.