Jan Struyf's publication list

Journal articles

• [1] Jan Struyf, Seth Dobrin and David Page, Combining gene expression, demographic and clinical data in modeling disease: A case study of bipolar disorder and schizophrenia. BMC Genomics 9(531), Nov. 2008, ISSN 1471-2164, ISI impactfactor 4.180 (2007), [Abstract], [BibTeX], [DOI], [Online].
• [2] Wannes Meert, Jan Struyf and Hendrik Blockeel, Learning ground CP-Logic theories by leveraging Bayesian network learning techniques. Fundamenta Informaticae 89, 2008, ISSN 0169-2968, ISI impactfactor 0.693 (2007), [Abstract], [BibTeX].
• [3] Celine Vens, Jan Struyf, Leander Schietgat, Sašo Džeroski and Hendrik Blockeel, Decision trees for hierarchical multi-label classification. Machine Learning 73(2):185-214, 2008, ISSN 0885-6125, ISI impactfactor 1.742 (2007), [Abstract], [BibTeX], [DOI].
• [4] Sašo Džeroski and Jan Struyf, 5th international workshop on knowledge discovery in inductive databases (KDID2006): Workshop report. SIGKDD Explorations - Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining 9(1):56-58, 2007, [Abstract], [BibTeX].
• [5] Damjan Demšar, Sašo Džeroski, Thomas Larsen, Jan Struyf, Jørgen Axelsen, Marianne Bruus Pedersen and Paul Henning Krogh, Using multi-objective classification to model communities of soil microarthropods. Ecological Modelling 191(1):131-143, 2006, ISI impactfactor 1.888 (2006), [Abstract], [BibTeX].
• [6] Jan Struyf, Techniques for improving the efficiency of inductive logic programming in the context of data mining. BNVKI Newsletter 22(1):10-12, feb 2005, [Abstract], [BibTeX].
• [7] Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten and Hendrik Blockeel, Compact representation of knowledge bases in inductive logic programming. Machine Learning 57(3):305-333, 2004, ISSN 0885-6125, ISI impactfactor 3.050 (2003), [Abstract], [BibTeX].
• [8] Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele and Wim Van Laer, Query transformations for improving the efficiency of ILP systems. Journal of Machine Learning Research 4(Aug):465-491, 2003, ISSN 1533-7928, 1532-4435, ISI impactfactor 4.317 (2003), [Abstract], [BibTeX].
• [9] Hendrik Blockeel and Jan Struyf, Efficient algorithms for decision tree cross-validation. Journal of Machine Learning Research 3(Dec):621-650, 2002, ISSN 1533-7928, 1532-4435, ISI impactfactor 4.317 (2003), [Abstract], [BibTeX], [PostScript].
• [10] Hendrik Blockeel and Jan Struyf, Deriving biased classifiers for better ROC performance. Informatica 26(1):77-84, 2002, ISSN 0350-5596, [Abstract], [BibTeX], [PostScript].

Editor of conference proceedings

• [11] Sašo Džeroski and Jan 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, 301 pages, Springer, 2007, ISSN 0302-9743 / ISBN 978-3-540-75548-7, [Abstract], [BibTeX], [DOI], [Online], [Buy].
• [12] Sašo Džeroski and Jan Struyf (editors), Proceedings of The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID'06). 143 pages, 2006, [Abstract], [BibTeX], [Online].

Book chapters

• [13] Peter Flach, Hendrik Blockeel, Cèsar Ferri, José Hernández-Orallo and Jan Struyf, Decision support for data mining: An introduction to ROC analysis and its applications. In D. Mladenić, N. Lavrač, M. Bohanec and S. Moyle, editors, Data Mining and Decision Support: Integration and Collaboration. The Kluwer International Series in Engineering and Computer Science, volume 745, pages 81-90, Kluwer, 2003, ISBN 1-4020-7388-7, [Abstract], [BibTeX].
• [14] Peter Flach, Hendrik Blockeel, Thomas Gärtner, M. Grobelnik, Branko Kavšek, Martin Kejkula, Darek Krzywania, Nada Lavrač, Peter Ljubič, Dunja Mladenić, Steve Moyle, Stefan Raeymaekers, Jan Rauch, Simon Rawles, Rita Ribeiro, Gert Sclep, Jan Struyf, Ljupčo Todorovski, Luís Torgo, D. Wettschereck and Shaomin Wu, On the road to knowledge: Mining 21 years of UK traffic accident reports. In D. Mladenić, N. Lavrač, M. Bohanec and S. Moyle, editors, Data Mining and Decision Support: Integration and Collaboration. The Kluwer International Series in Engineering and Computer Science, volume 745, pages 143-156, Kluwer, 2003, ISBN 1-4020-7388-7, [Abstract], [BibTeX].

Reviewed conferences with published proceedings

• [15] Beau Piccart, Jan Struyf and Hendrik 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, ISSN 0302-9743 / ISBN 978-3-540-88410-1, [Abstract], [BibTeX], [DOI].
• [16] Jan Struyf and Sašo 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, ISSN 0302-9743 / ISBN 978-3-540-74957-8, [Abstract], [BibTeX], [DOI].
• [17] Dragi Kocev, Celine Vens, Jan Struyf and Sašo 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, ISSN 0302-9743 / ISBN 978-3-540-74957-8, [Abstract], [BibTeX], [DOI].
• [18] Jesse Davis, Irene Ong, Jan Struyf, Elizabeth Burnside, David Page and Vítor Santos Costa, Change of representation for statistical relational learning. In M. Veloso, editor, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), pages 2719-2726, 2007, [Abstract], [BibTeX].
• [19] Dragi Kocev, Jan Struyf and Sašo 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, ISSN 0302-9743 / ISBN 978-3-540-75548-7, [Abstract], [BibTeX], [DOI].
• [20] Élisa Fromont, Hendrik Blockeel and Jan Struyf, Integrating decision tree learning into inductive databases. 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 81-96, Springer, 2007, ISSN 0302-9743 / ISBN 978-3-540-75548-7, [Abstract], [BibTeX], [DOI].
• [21] Sašo Džeroski, Valentin Gjorgjioski, Ivica Slavkov and Jan 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, ISSN 0302-9743 / ISBN 978-3-540-75548-7, [Abstract], [BibTeX], [DOI].
• [22] Jan Struyf, Jesse Davis and David Page, An efficient approximation to lookahead in relational learners. In J. Fürnkranz, T. Scheffer and M. Spiliopoulou, editors, Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Proceedings. Lecture Notes in Artificial Intelligence, volume 4212, pages 775-782, Springer, 2006, ISSN 0302-9743 / ISBN 978-3-540-45375-8, [Abstract], [BibTeX].
• [23] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski and Amanda 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].
• [24] Jan Struyf and Sašo 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, ISSN 0302-9743 / ISBN 978-3-540-33292-3, [Abstract], [BibTeX], [DOI].
• [25] Bernard Ženko, Sašo Džeroski and Jan 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, ISSN 0302-9743 / ISBN 978-3-540-33292-3, [Abstract], [BibTeX], [DOI].
• [26] Jan Struyf, Sašo Džeroski, Hendrik Blockeel and Amanda 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].
• [27] Jan Struyf and Hendrik Blockeel, Query optimization in inductive logic programming by reordering literals. In T. Horváth and A. Yamamoto, editors, Proceedings of the 13th International Conference on Inductive Logic Programming (ILP'03). Lecture Notes in Artificial Intelligence, volume 2835, pages 329-346, Springer-Verlag, 2003, ISSN 0302-9743, [Abstract], [BibTeX].
• [28] Jan Struyf, Jan Ramon and Hendrik Blockeel, Compact representation of knowledge bases in ILP. In S. Matwin and C. Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming (ILP'02). Lecture Notes in Artificial Intelligence, volume 2583, pages 254-269, Springer-Verlag, 2003, ISSN 0302-9743, [Abstract], [BibTeX], [PostScript].
• [29] Jan Struyf and Hendrik Blockeel, Efficient cross-validation in ILP. In C. Rouveirol and M. Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming (ILP'01). Lecture Notes in Artificial Intelligence, volume 2157, pages 228-239, Springer-Verlag, 2001, ISSN 0302-9743, [Abstract], [BibTeX], [PostScript].
• [30] Hendrik Blockeel and Jan Struyf, Efficient algorithms for decision tree cross-validation. In C. Brodley and A. Danyluk, editors, Proceedings of the 18th International Conference on Machine Learning (ICML'01), pages 11-18, Morgan Kaufmann, 2001, ISBN 1-55860-778-1, [Abstract], [BibTeX], [PostScript].

Other conferences

• [31] Wannes Meert, Jan Struyf and Hendrik Blockeel, CP-logic theory inference with contextual variable elimination and comparison to BDD based inference methods. In L. De Raedt, editor, Proceedings of the 19th International Conference on Inductive Logic Programming, 6 pages, 2009, [Abstract], [BibTeX].
• [32] Nima Taghipour, Wannes Meert, Jan Struyf and Hendrik Blockeel, First-order Bayes-ball for CP-logic. In P. Domingos and K. Kersting, editors, Proceedings of the International Workshop on Statistical Relational Learning (SRL-2009), 3 pages, 2009, [Abstract], [BibTeX].
• [33] Wannes Meert, Jan Struyf and Hendrik Blockeel, Learning ground CP-Logic theories by means of Bayesian network techniques. In D. Malerba, A. Appice and M. Ceci, editors, Proceedings of the 6th International Workshop on Multi-Relational Data Mining (MRDM'07), pages 93-104, 2007, [Abstract], [BibTeX].
• [34] Dragi Kocev, Sašo Džeroski and Jan Struyf, Similarity constraints in beam-search induction of predictive clustering trees. In M. Grobelnik and D. Mladenić, editors, Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2006) at the 9th International Multi-conference on Information Society (IS-2006), pages 267-270, 2006, [Abstract], [BibTeX].
• [35] Sašo Džeroski, Ivica Slavkov, Valentin Gjorgjioski and Jan Struyf, Analysis of time series data with predictive clustering trees. In S. Džeroski and J. Struyf, editors, Proceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID'06), pages 47-58, 2006, [Abstract], [BibTeX].
• [36] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Amanda Clare and Sašo Džeroski, Hierarchical multilabel classification trees for gene function prediction (Extended abstract). In J. Rousu, editor, Proceedings of Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006, pages 9-14, 2006, [Abstract], [BibTeX].
• [37] Jan Struyf and Sašo Džeroski, Constraint based induction of multi-objective regression trees. In F. Bonchi and J. Boulicaut, editors, Proceedings of the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005), pages 110-121, 2005, [Abstract], [BibTeX].
• [38] Bernard Ženko, Sašo Džeroski and Jan Struyf, Learning predictive clustering rules. In F. Bonchi and J. Boulicaut, editors, Proceedings of the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005), pages 122-133, 2005, [Abstract], [BibTeX].
• [39] Jan Struyf, Celine Vens, Tom Croonenborghs, Sašo Džeroski and Hendrik 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].
• [40] Ivica Slavkov, Sašo Džeroski, Jan Struyf and Suzana 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].
• [41] Dragi Kocev, Sašo Džeroski, Jan Struyf and Suzana 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].
• [42] Jan Struyf, Celine Vens, Tom Croonenborghs, Sašo Džeroski and Hendrik Blockeel, Napovedovanje funkcij genov z induktivnim logicnim programiranjem in drevesi za napovedno razvrscanje. In G. Anderluh, B. Zupan and J. Stare, editors, Prvo Srecanje Slovenskih Bioinformatikov (BIOINFO2005), pages 27-30, 2005, [Abstract], [BibTeX].
• [43] Jan Ramon and Jan Struyf, Efficient theta-subsumption of sets of patterns. In A. Nowe and B. Manderick, editors, Proceedings of the 13th Belgian-Dutch Conference on Machine Learning (Benelearn'04), pages 95-102, 2004, [Abstract], [BibTeX], [PostScript].
• [44] Anneleen Van Assche, Sofie Verbaeten, Darek Krzywania, Jan Struyf and Hendrik Blockeel, Attribute-value and first order data mining within the STULONG project. In P. Berka, J. Rauch and S. Tsumoto, editors, Proceedings of the ECML/PKDD'03 Discovery Challenge: A Collaborative Effort in Knowledge Discovery from Databases, 2003, [Abstract], [BibTeX], [PostScript].
• [45] Remko Tronçon, Henk Vandecasteele, Jan Struyf, Bart Demoen and Gerda Janssens, Query optimization: Combining query-packs and the once-tranformation. In T. Horváth and A. Yamamoto, editors, Inductive Logic Programming, 13th International Conference (ILP'03), Work-in-Progress Reports, pages 105-115, 2003, [Abstract], [BibTeX], [PostScript].
• [46] Anneleen Van Assche, Darek Krzywania, Joris Vaneyghen, Jan Struyf and Hendrik Blockeel, First order alternating decision trees. In T. Horváth and A. Yamamoto, editors, Inductive Logic Programming, 13th International Conference (ILP'03), Work-in-Progress Reports, pages 116-125, 2003, [Abstract], [BibTeX], [PostScript].
• [47] Jan Ramon and Jan Struyf, Computer science in issues in Baduk. In N. Chihyung, editor, Proceedings of the 2nd International Conference on Baduk, pages 163-182, 2003, [Abstract], [BibTeX].
• [48] Hendrik Blockeel, Maurice Bruynooghe, Sašo Džeroski, Jan Ramon and Jan Struyf, Hierarchical multi-classification. In L. De Raedt, S. Džeroski and S. Wrobel, editors, Workshop Notes of the KDD'02 Workshop on Multi-Relational Data Mining (MRDM'02), pages 21-35, 2002, [Abstract], [BibTeX], [PostScript].
• [49] Jan Struyf and Hendrik Blockeel, Efficient multi-relational data mining. In V. Hoste and G. De Pauw, editors, Proceedings of the 11th Belgian-Dutch Conference on Machine Learning (Benelearn'01), pages 69-75, 2001, [Abstract], [BibTeX], [PostScript].
• [50] Hendrik Blockeel and Jan Struyf, Frankenstein classifiers: Some experiments on the Sisyphus data set. In C. Giraud-Carrier, N. Lavrač and S. Moyle, editors, Proceedings of the ECML/PKDD'01 Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM'01), pages 1-12, 2001, [Abstract], [BibTeX], [PostScript].
• [51] Hendrik Blockeel and Jan Struyf, Deriving biased classifiers for better ROC performance. In M. Grobelnik and D. Mladenić, editors, Information Society 2001, pages 124-127, 2001, [Abstract], [BibTeX], [PostScript].
• [52] Hendrik Blockeel, Kurt Driessens, Nico Jacobs, Raymondus Kosala, Stefan Raeymaekers, Jan Ramon, Jan Struyf, Wim Van Laer and Sofie Verbaeten, First order models for the predictive toxicology challenge. In C. Helma, R. King, S. Kramer and A. Srinivasan, editors, Proceedings of the ECML/PKDD'01 Workshop on the Predictive Toxicology Challenge 2000-2001, pages 1-12, 2001, [Abstract], [BibTeX], [PostScript].
• [53] Hendrik Blockeel and Jan Struyf, Frankenstein classifiers: Some experiments. In V. Hoste and G. De Pauw, editors, Proceedings of the 11th Belgian-Dutch Conference on Machine Learning (Benelearn'01), pages 5-12, 2001, [Abstract], [BibTeX], [PostScript].

Abstracts

• [54] Wannes Meert, Jan Struyf and Hendrik Blockeel, Experimental comparison of CP-logic theory inference methods. In Proceedings of the 18th Annual Belgian-Dutch Conference on Machine Learning, pages 101-102, 2009, [Abstract], [BibTeX].
• [55] Wannes Meert, Jan Struyf and Hendrik Blockeel, CP-Logic theory inference with contextual variable elimination. NIPS'08 Workshop on Probabilistic Programming: Universal Languages and Inference; Systems; and Applications, Whistler, Canada, December 13, 2008. [Abstract], [BibTeX].
• [56] Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev and Sašo Džeroski, Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision trees. 7th European Conference on Computational Biology, Cagliari, Italy, September 22-26, 2008. [Abstract], [BibTeX].
• [57] Beau Piccart, Jan Struyf and Hendrik Blockeel, Selective inductive transfer. In L. Wehenkel, P. Geurts and R. Marée, editors, Benelearn'08: The Annual Belgian-Dutch Machine Learning Conference, May 19-20, 2008, Spa, Belgium, pages 63-64, 2008, [Abstract], [BibTeX].
• [58] Leander Schietgat, Celine Vens, Jan Struyf, Dragi Kocev, Sašo Džeroski and Hendrik Blockeel, Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles. Spring Workshop on Mining and Learning, Traben-Trarbach, Germany, April 23-25, 2008. [Abstract], [BibTeX].
• [59] Leander Schietgat, Celine Vens, Jan Struyf, Dragi Kocev, Sašo Džeroski and Hendrik Blockeel, Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles. BioSapiens Network of Excellence Workshop: From Genome to Proteome and Biological Function, Brussels, Belgium, April 2, 2008. [Abstract], [BibTeX].
• [60] Jan Struyf and Sašo Džeroski, Clustering trees with instance level constraints (Extended abstract). In M. Mehdi Dastani and E. de Jong, editors, Proceedings of the 19th Belgian-Dutch Conference on Artificial Intelligence, BNAIC 2007, Utrecht, The Netherlands, November 5-6, 2007, pages 399-400, 2007, [Abstract], [BibTeX].
• [61] Sašo Džeroski, Valentin Gjorgjioski, Ivica Slavkov and Jan Struyf, Analysis of time series data with predictive clustering trees. Former Freiburg, Leuven and Friends Workshop on Machine Learning, FLF-07, Massembre (Heer), Belgium, March 21-23, 2007. [Abstract], [BibTeX].
• [62] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski and Amanda Clare, Decision trees for hierarchical multilabel classification: A case study in functional geonomics. In P. Schobbens, W. Vanhoof and G. Schwanen, editors, Proceedings of the 18th Belgium-Netherlands Conference on Artificial Intelligence, BNAIC 2006, Namur, Belgium, October 5-6, 2006, pages 423-424, 2006, [Abstract], [BibTeX].
• [63] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski and Amanda Clare, Decision trees for hierarchical multilabel classification: A case study in functional genomics. In Y. Saeys, E. Tsiporkova, B. De Baets and Y. Van de Peer, editors, Benelearn'06: The Annual Machine Learning Conference of Belgium and The Netherlands, Gent, Belgium, May 11-12, 2006, pages 157-157, 2006, [Abstract], [BibTeX].
• [64] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski and Amanda Clare, Decision trees for hierarchical multilabel classification: A case study in functional genomics. Joint APrIL/IQ Workshop, Titisee, Germany, March 15-18, 2006. [Abstract], [BibTeX].
• [65] Hendrik Blockeel, Leander Schietgat, Jan Struyf, Sašo Džeroski and Amanda Clare, Decision trees for hierarchical multilabel classification: A case study in functional genomics. 7th "Freiburg, Leuven and Friends" Workshop on Machine Learning, FLF-06, Titisee, Germany, March 13-14, 2006. [Abstract], [BibTeX].
• [66] Jan Ramon and Jan Struyf, Frequent pattern mining under generalized subsumption. Dutch Belgian Database Day 2004, DBDBD 2004, Antwerpen, Belgium, December 3, 2004. [Abstract], [BibTeX].
• [67] Jan Ramon and Jan Struyf, On efficient mining of compactly represented sets of frequent patterns in relational languages. Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004. [Abstract], [BibTeX].
• [68] Jan Struyf, Fast relational data mining - Query optimization for improving the efficiency of relational data mining systems. Industry-ready Innovative Research: 1st Flanders Engineering PhD Symposium, Brussels, Belgium, December 11, 2003. [Abstract], [BibTeX].
• [69] Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten and Hendrik Blockeel, Compact representation of knowledge bases in inductive logic programming. 4th Leuven-Freiburg Workshop on Machine Learning (FLF'03), Leuven/Dourbes, Belgium, March 19-21, 2003. [Abstract], [BibTeX].
• [70] Jan Struyf, Scalable and efficient relational data mining. Faculty of Engineering, PhD Symposium, Leuven, Belgium, December 11, 2002. [Abstract], [BibTeX].
• [71] Jan Struyf, Jan Ramon and Hendrik Blockeel, Compact representation of knowledge bases in ILP. 14th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'02), Leuven, Belgium, October 21-22, 2002. [Abstract], [BibTeX], [PostScript].
• [72] Jan Struyf, Practical data mining applied to Spa data. 3rd Freiburg-Leuven Workshop on Machine Learning (FLF'02), Hinterzarten, Germany, February 27 - March 1, 2002. [Abstract], [BibTeX].
• [73] Hendrik Blockeel and Jan Struyf, Efficient algorithms for decision tree cross-validation. 13th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'01), Amsterdam, The Netherlands, October 25-26, 2001. [Abstract], [BibTeX], [PostScript].
• [74] Hendrik Blockeel and Jan Struyf, Efficient multi-relational data mining. ECML/PKDD'01 Workshop on Multi-Relational Data Mining (MRDM'01), Freiburg, Germany, September 6, 2001. [Abstract], [BibTeX], [PostScript].
• [75] Hendrik Blockeel and Jan Struyf, Efficient algorithms for decision tree cross-validation. 2nd Leuven-Freiburg Workshop on Machine Learning (FLF'01), Oostkamp, Belgium, March 14-16, 2001. [Abstract], [BibTeX].

Technical reports

• [76] Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev and Sašo Džeroski, Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles. Department of Computer Science, K.U. Leuven, Report CW 528, Leuven, Belgium, October, 2008, pages 1-13, [Abstract], [BibTeX].
• [77] Jan Struyf, Jan Ramon, Sofie Verbaeten, Maurice Bruynooghe and Hendrik Blockeel, Compact representation of knowledge bases in inductive logic programming. Department of Computer Science, K.U. Leuven, Report CW 377, Leuven, Belgium, May, 2004, pages 1-44, [Abstract], [BibTeX].
• [78] Remko Tronçon, Henk Vandecasteele, Jan Struyf, Bart Demoen and Gerda Janssens, An execution mechanism for combining query-packs and once-transformations. Department of Computer Science, K.U. Leuven, Report CW 362, Leuven, Belgium, October, 2003, pages 1-27, [Abstract], [BibTeX].
• [79] Hendrik Blockeel and Jan Struyf, Efficient algorithms for decision tree cross-validation. Department of Computer Science, K.U. Leuven, Report CW 305, Leuven, Belgium, February, 2001, pages 1-10, [Abstract], [BibTeX], [PostScript].

PhD thesis

• [80] Jan Struyf, Techniques for Improving the Efficiency of Inductive Logic Programming in the Context of Data Mining. Ph.D. Thesis, Department of Computer Science, K.U.Leuven, Leuven, Belgium, December, 2004, xx+201p+xxxv+NL16. [Abstract], [BibTeX].