Machine Learning and Natural Language Processing Lab

Jean-François Boulicaut, Luc De Raedt and Heikki Mannila (Eds.)
Constraint Based Mining: European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers.
Springer.2006
[website]

Luc De Raedt.
From Inductive Logic Programming to Multi-Relational Data Mining.
Springer.2006
[website]

Takashi Washio, Joost N. Kok and Luc De Raedt (Eds.)
Advances in Mining Graphs, Trees and Sequences (Frontiers in Artificial Intelligence and Applications, Vol. 124).
IOS Press.2005
[website]

Luc De Raedt and Stefan Wrobel (Eds.)
22nd International Machine Learning Conference, Bonn, Germany, 7-11 August, 2005, Proceedings.
ACM Press.2005
[website]

Luc De Raedt and Arno Siebes (Eds.)
Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings.
Springer.2001
[website]

Luc De Raedt and Peter A. Flach (Eds.)
Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings.
Springer.2001
[website]

Luc De Raedt (Ed.)
Advances in Inductive Logic Programming, (Frontiers in Artificial Intelligence and Applications, 32).
IOS Press.1996
[website]

Francesco Bergadano and Luc De Raedt (Eds.)
Machine Learning: ECML-94, European Conference on Machine Learning, Catania, Italy, April 6-8, 1994. Proceedings.
Springer.1994
[website]

Luc De Raedt.
Interactive Theory Revision: An Inductive Logic Programming Approach.
Academic Press.1992

Niels Landwehr and Bernd Gutmann and Ingo Thon and Matthai Philipose and Luc De Raedt.Relational Transformation-based Tagging for Activity Recognition.
In: Fundamenta Informaticae2008. To Appear.

Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila.Constrained Hidden Markov Models for Population-based Haplotyping.
In: BMC Bioinformatics8/(Suppl 2). 2007. [pdf]

Niels Landwehr and Kristian Kersting and Luc De Raedt.Integrating Naive Bayes and FOIL.
In: Journal of Machine Learning Research8. pp. 481-507. 2007. [pdf]

Amanda Clare and Andreas Karwath and Helen Ougham and Ross D. King.Functional bioinformatics for Arabidopsis thaliana.
In: BIOINFORMATICS22/9. pp. 1130-1136. 2006.
[website]

Andreas Karwath and Luc De Raedt.SMIREP: Predicting Chemical Activity from SMILES.
In: Journal of Chemical Information and Modeling46/6. pp. 2432 - 2444. 2006.
[website]

Backofen, R. and Borrmann, H.-G. and Deck, W. and Dedner, A. and De Raedt, L. and Desch, K. and Diesmann, M. and Geier, M. and Greiner, A. and Hess, W.R. and Honerkamp, J. and Jankowski, St. and Krossing, I. and Liehr, A.W. and Karwath, A. and Kloefkorn, R. and Pesche, R. and Potjans, T. and Roettger, M.C. and Schmiedt-Thieme, L. and Schneider, G. and Voss, B. and Wiebelt, B. and Wienemann, P. and Winterer, V.-H.A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.
In: PIK29/2. pp. 81-87. 2006.
[website]

Kristian Kersting and Luc De Raedt and Tapani Raiko.Logical Hidden Markov Models.
In: Journal of Artifical Intelligence Research (JAIR)2005. (To appear).

Niels Landwehr and Mark Hall and Eibe Frank.Logistic Model Trees.
In: Machine Learning Journal59/1-2. pp. 161-205. 2005. [pdf]

Luc De Raedt and Kristian Kersting.Probabilistic Logic Learning.
In: SIGKDD Explorations5/1. pp. 31-48. 2003. [pdf]

Saso Dzeroski and Luc De Raedt.Multi-relational data mining: the current frontiers.
In: SIGKDD Explorations5/1. pp. 100-101. 2003.

Saso Dzeroski and Luc De Raedt and Stefan Wrobel.Multirelational data mining 2003: workshop report.
In: SIGKDD Explorations5/2. pp. 200-202. 2003.

Luc De Raedt.A Perspective on Inductive Databases.
In: SIGKDD Explorations4/2. pp. 69-77. 2002. [pdf]

S. Ganzert and J. Guttmann and K. Kersting and R. Kuhlen and C. Putensen and M. Sydow and S. Kramer.Analysis of Respiratory Pressure-Volume Curves in Intensive Care Medicine Using Inductive Machine Learning.
In: Artificial Intelligence in Medicine2002.

Saso Dzeroski and Luc De Raedt.Multi-Relational Data Mining: a Workshop Report.
In: SIGKDD Explorations4/2. pp. 122-124. 2002.

Kristian Kersting and Luc De Raedt.Bayesian Logic Programs.
In: CoRRcs.AI/0111058. 2001.

Saso Dzeroski and Luc De Raedt and Kurt Driessens.Relational Reinforcement Learning.
In: Machine Learning43/1/2. pp. 7-52. 2001. [pdf]

Hendrik Blockeel and Luc De Raedt and Jan Ramon.Top-down induction of clustering trees.
In: CoRRcs.LG/0011032. 2000. [pdf]

Hendrik Blockeel and Luc De Raedt and Nico Jacobs and Bart Demoen.Scaling Up Inductive Logic Programming by Learning from Interpretations.
In: CoRRcs.LG/0011044. 2000.

Luc De Raedt and Johannes A. La Poutr\'e and Floor Verdenius.AI Research in the Benelux - Guest Editorial.
In: AI Commun.13/1. pp. 1-2. 2000.

Luc De Raedt and Maarten van Someren.Benelearn: The First 10 Years.
In: AI Commun.13/1. pp. 3-4. 2000.

Hendrik Blockeel and Luc De Raedt and Nico Jacobs and Bart Demoen.Scaling Up Inductive Logic Programming by Learning from Interpretations.
In: Data Min. Knowl. Discov.3/1. pp. 59-93. 1999.

Luc De Raedt and Saso Dzeroski.First-Order jk-Clausal Theories are PAC-Learnable.
In: Artif. Intell.70/1-2. pp. 375-392. 1994. [pdf]

Kristian Kersting and Luc De Raedt and Bernd Gutmann and Andreas Karwath and Niels Landwehr.Relational Sequence Learning.
In: Luc De Raedt and Paolo Frasconi and Kristian Kersting and Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming.Springer.2008.

Niels Landwehr and Taneli Mielikainen.Probabilistic Logic Learning from Haplotype Data.
In: Luc De Raedt and Paolo Frasconi and Kristian Kersting and Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming.Springer.2008.

Albrecht Zimmermann and Luc De Raedt.Inductive Querying for Discovering Subgroups and Clusters.
In: Jean-Francois Boulicaut and Luc De Raedt and Heikki Mannila (Eds.): Constraint-Based Mining.Lecture Notes in Artificial Intelligence (LNAI)3848. pp. 380-399. Springer.2005.

Björn Bringmann.To See the Wood for the Trees: Mining Frequent Tree Patterns.
In: Jean-Francois Boulicaut and Luc De Raedt and Heikki Mannila (Eds.): Constraint-Based Mining.Lecture Notes in Artificial Intelligence (LNAI)3848. pp. 38-63. Springer.2005.

Kristian Kersting and Luc De Raedt.Bayesian Logic Programming: Theory and Tool.
In: Lise Getoor and Ben Taskar (Eds.): An Introduction to Statistical Relstaional Learning.MIT Press.2005. (to appear).

Kristian Kersting and Niels Landwehr.Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.
In: J. A. Gámez and S. Moral and A. Salmerón (Eds.): Advances in Learning Bayesian Networks.Studies in Fuzziness and Soft Computing146. pp. 235-254. Springer.2004.

Luc De Raedt and Hendrik Blockeel and Luc Dehaspe and Wim Van Laer.Three Companions for Data Mining in First Order Logic.
In: Saso Dzeroski and Nada Lavrac (Eds.): Relational Data Mining. pp. 105-139. Springer-Verlag.2001.

Andreas Karwath and Kristian Kersting and Niels Landwehr.Boosting Relational Sequence Alignments.
In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008).December.Pisa, Italy.(2008)

Ingo Thon and Niels Landwehr and Luc De Raedt.A Simple Model for Sequences of Relational State Descriptions.
In: Proceedings of the 19th European Conference on Machine Learning (ECML-2008).September 15-19.Antwerp, Belgium.(2008)

Niels Landwehr.Modeling Interleaved Hidden Processes.
In: Proceedings of the 25th International Conference on Machine Learning (ICML-08).July 5-9.Helsinki, Finland.(2008) [pdf]

Niels Landwehr and Bernd Gutmann and Ingo Thon and Matthai Philipose and Luc De Raedt.Relational Transformation-based Tagging for Human Activity Recognition.
In: D. Malerba and A. Appice and M. Ceci (Eds.): Working Notes of the 6th Workshop on Multi-Relational Data Mining (MRDM-07) at ECML/PKDD-07.(2007) [pdf]

Niels Landwehr and Luc De Raedt.r-grams: Relational Grams.
In: Proceedings of the Twentieth Joint International Conference on Artificial Intelligence (IJCAI-07).January 6-12.Hyderabad, India.(2007) [pdf]

Andreas Karwath and Kristian Kersting.Relational Sequence Alignements.
In: Thomas Gärtner and Gemma C. Garriga and Thorsten Meinl (Eds.): Proc. The 4th International Workshop on Mining and Learning with Graphs (MLG '06).September. pp. ??-??. (2006)

Björn Bringmann and Albrecht Zimmermann and Luc De Raedt and Siegfried Nijssen.Don't Be Afraid of Simpler Patterns.
In: Proceedings of the 15th European Conference on Machine Learning (ECML 2006).18-22 September.Berlin, Germany.(2006) [urlzip][pdf]

Niels Landwehr and Andrea Passerini and Luc De Raedt and Paolo Frasconi.kFOIL: Learning Simple Relational Kernels.
In: Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06).July 16-20.Boston, Massachusetts, USA.AAAI Press.(2006) [pdf]

Niels Landwehr and Taneli Mielikainen and Lauri Eronen and Hannu Toivonen and Heikki Mannila.Constrained Hidden Markov Models for Population-based Haplotyping (Extended Abstract).
In: Juho Rouso and Samuel Kaski and Esko Ukkonen (Eds.): Proceedings of the Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB).June 17-18.Tuusula, Finland.(2006) [pdf]

Tamás Horváth and Björn Bringmann and Luc De Raedt.Frequent Hypergraph Mining.
In: 16th International Conference on Inductive Logic Programming (ILP 06).24-27 August.Santiago, Spain.(2006)

Albrecht Zimmermann and Björn Bringmann.CTC - Correlating Tree Patterns for Classification.
In: Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005).27-30 November.Houston, USA.(2005) [pdf]

Björn Bringmann and Albrecht Zimmermann.Tree² - Decision Trees for Tree Structured Data.
In: Alípio Jorge and Luís Torgo and Pavel Brazdil and Rui Camacho and João Gama (Eds.): Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2005).October 2-8.Porto, Portugal.Lecture Notes in Artificial Intelligence (LNAI)3721. pp. 46-58. Springer.(2005) [urlzip][pdf]

Christian Stolle and Andreas Karwath and Luc De Raedt.CLASSIC'CL: an integrated ILP system.
In: Proc. 8th International Conference of Discovery Science, DS 2005.October.Lecture Notes in Artificial Intelligence3735. pp. 354-362. Springer-Verlag.(2005) [pdf]

Kristian Kersting and Tapani Raiko.'Say EM' for Selecting Probabilistic Models for Logical Sequences.
In: F. Bacchus and T. Jaakkola (Eds.): Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-05).July 26-29.Edinburgh, Scotland.(2005)

Luc De Raedt and Kristian Kersting and Sunna Torge.Towards Learning Stochastic Logic Programs from Proof-Banks.
In: M. Veloso and S. Kambhampati (Eds.): Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05).July 9-13.Pittsburgh, Pennsylvania, USA.(2005)

Niels Landwehr and Kristian Kersting and Luc De Raedt.nFOIL: Integrating Naive Bayes and FOIL.
In: M. Veloso and S. Kambhampat (Eds.): Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05).July 9-13.Pittsburgh, Pennsylvania, USA.AAAI Press.(2005) [pdf]

Tayfun Guerel and Kristian Kersting.On the Trade-Off Between Iterative Classification and Collective Classification: First Experimental Results.
In: S. Nijssen, T. Meinl, and G. Karypis (Eds.): Working Notes of the Third International ECML/PKDD- Workshop on Mining Graphs, Trees and Sequences (MGTS-05).October 7.Porto, Portugal.(2005)

Albrecht Zimmermann and Luc De Raedt.CorClass: Correlated Association Rule Mining for Classification.
In: Suzuki, Einoshin and Arikawa, Setsuo (Eds.): Discovery Science, 7th International Conference, DS 2004, Padova Italy, October 2-5, 2004, Proceedings.oct.Padova, Italy.Lecture Notes in Computer Science. pp. 60-72. Springer.(2004) [urlzip][pdf]

Albrecht Zimmermann and Luc De Raedt.Cluster-Grouping: From Subgroup Discovery to Clustering.
In: Boulicaut, Jean-Fran\\c{c}ois and Esposito, Floriana and Giannotti, Fosca and Pedreschi, Dino (Eds.): Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings.sep.Pisa, Italy.Lecture Notes in Computer Science. pp. 575-577. Springer.(2004) [urlzip][pdf]

Andreas Karwath and Luc De Raedt.Predictive Graph Mining.
In: E. Suzuki and S. Arikawa (Eds.): Proc. 7th International Conference of Discovery Science, DS 2004.October.Lecture Notes in Artificial Intelligence3245. pp. 1-15. Springer-Verlag.(2004) [pdf]
[website]

Andreas Karwath and Luc De Raedt.Predictive Graph Mining.
In: Joost Kok and Takashi Washio (Eds.): Proc. International Workshop on Mining Graphs, Trees and Sequences, MGTS 2004.September. pp. 25-36. (2004)
[website]

Björn Bringmann.Matching in Frequent Tree Discovery.
In: Rajeev Rastogi and Katharina Morik and Max Bramer and Xindong Wu (Eds.): Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004).1-4 November.Brighton, UK. pp. 335-338. IEEE Computer Society.(2004) [pdf]

Johannes Fischer and Luc De Raedt.Towards Optimizing Conjunctive Inductive Queries.
In: Honghua Dai and Ramakrishnan Srikant and Chengqi Zhang (Eds.): PAKDD.Lecture Notes in Computer Science3056. pp. 625-637. Springer.(2004) [pdf]

Kristian Kersting and Luc De Raedt.Logical Markov Decision Programs and the Convergence of Logical TD(lambda).
In: Rui Camacho and Ross D. King and Ashwin Srinivasan (Eds.): Proceedings of the Fourteenth International Conference on Inductive Logic Programming (ILP-2004).September 6-8.Porto, Portugal.Lecture Notes in Computer Science3194. pp. 180-197. Springer.(2004) [pdf]

Kristian Kersting and Martijn Van Otterlo and Luc De Raedt.Bellman goes Relational.
In: R. Greiner and D. Schuurmans (Eds.): Proceedings of the Twenty-First International Conference on Machine Learning (ICML-2004).July 4-8.Banff, Alberta, Canada. pp. 465 - 472. (2004)

Kristian Kersting and Thomas Gaertner.Fisher Kernels for Logical Sequences.
In: J.-F. Boulicaut and F. Esposito and F. Giannotti and D. Pedreschi (Eds.): Proceedings of the 15th European Conference on Machine Learning (ECML-2004).September 20-25.Pisa, Italy. pp. 205 -216. Springer.(2004)

Kristian Kersting and Uwe Dick.Balios - The Engine for Bayesian Logic Program.
In: J.-F. Boulicaut and F. Esposito and F. Giannotti and D. Pedreschi (Eds.): Proceedings of the 8th European Conference on Principles and Practice of Knowledege Discovery in Databases (PKDD-2004).September 20-25.Pisa, Italy. pp. 549-551. Springer.(2004)

Luc De Raedt.Towards Query Evaluation in Inductive Databases Using Version Spaces.
In: Rosa Meo and Pier Luca Lanzi and Mika Klemettinen (Eds.): Database Support for Data Mining Applications.Lecture Notes in Computer Science2682. pp. 117-134. Springer.(2004) [pdf]

Luc De Raedt and Jan Ramon.Condensed Representations for Inductive Logic Programming.
In: Didier Dubois and Christopher A. Welty and Mary-Anne Williams (Eds.): KR. pp. 438-446. AAAI Press.(2004) [pdf]

Luc De Raedt and Kristian Kersting.Probabilistic Inductive Logic Programming.
In: Shai Ben-David and John Case and Akira Maruoka (Eds.): Proceedings of the 15th International Conference on Algorithmic Learning Theory (ALT-2004).Lecture Notes in Computer Science3244. pp. 19-36. Springer.(2004) [urlzip][pdf]

Sau Dan Lee and Luc De Raedt.An Efficient Algorithm for Mining String Databases Under Constraints.
In: Bart Goethals and Arno Siebes (Eds.): KDID.Lecture Notes in Computer Science3377. pp. 108-129. Springer.(2004) [pdf]

Sau Dan Lee and Luc De Raedt.Constraint Based Mining of First Order Sequences in SeqLog.
In: Rosa Meo and Pier Luca Lanzi and Mika Klemettinen (Eds.): Database Support for Data Mining Applications.Lecture Notes in Computer Science2682. pp. 154-173. Springer.(2004) [pdf]

Joerg Fischer and Kristian Kersting.Scaled CGEM: A Fast Accelerated EM.
In: N. Lavrac and D. Gamberger and H. Blockeel and L. Todorovski (Eds.): Proceedings of the Fourteenth European Conference on Machine Learning (ECML-2003).September 22-26.Cavtat, Croatia. pp. 133-144. Springer.(2003)

Johannes Fischer and Luc De Raedt.Towards Optimizing Conjunctive Inductive Queries.
In: Jean-Fran\\c{c}ois Boulicaut and Saso Dzeroski (Eds.): KDID. pp. 44-59. Rudjer Boskovic Institute, Zagreb, Croatia.(2003) [pdf]

Kristian Kersting and Tapani Raiko and Stefan Kramer and Luc De Raedt.Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
In: R. B. Altman, A. K. Dunker, L. Hunter, T. A. Jung and T. E. Klein (Eds.): Proceedings of the Pacific Symposium on Biocomputing (PSB-2003).January 3-7.Kauai, Hawaii, USA. pp. 192-203. (2003) [pdf]

Niels Landwehr and Mark Hall and Eibe Frank.Logistic Model Trees.
In: Nada Lavrac and Dragan Gamberger and Ljupco Todorovski and Hendrik Blockeel (Eds.): Proceedings of the 14th European Conference on Machine Learning (ECML-03).Lecture Notes in Computer Science2837. pp. 241-252. Springer.(2003) [pdf]

Sau Dan Lee and Luc De Raedt.An Algebra for Inductive Query Evaluation.
In: Jean-Fran\\c{c}ois Boulicaut and Saso Dzeroski (Eds.): KDID. pp. 80-96. Rudjer Boskovic Institute, Zagreb, Croatia.(2003)

Sau Dan Lee and Luc De Raedt.An Algebra for Inductive Query Evaluation.
In: ICDM. pp. 147-154. IEEE Computer Society.(2003) [pdf]

Björn Bringmann and Stefan Kramer and Friedrich Neubarth and Hannes Pirker and Gerhard Widmer.Transformation-Based Regression.
In: Claude Sammut and Achim G. Hoffmann (Eds.): Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002).8-12 July.University of New South Wales, Sydney, Australia. pp. 59-66. Morgan Kaufmann.(2002) [pdf]

Kristian Kersting and Tapani Raiko and Luc De Raedt.Logical Hidden Markov Models (Extended abstract).
In: Jose A. Gamez and Antonio Salmeron (Eds.): Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM-02).November 6-8.Cuenca, Spain. pp. 99-107. (2002)

Luc De Raedt.Data Mining as Constraint Logic Programming.
In: Antonis C. Kakas and Fariba Sadri (Eds.): Computational Logic. Logic Programming and Beyond.Lecture Notes in Computer Science2408. pp. 526-547. Springer.(2002)

Luc De Raedt and Manfred Jaeger and Sau Dan Lee and Heikki Mannila.A Theory of Inductive Query Answering.
In: ICDM. pp. 123-130. IEEE Computer Society.(2002) [pdf]

Sau Dan Lee and Luc De Raedt.Constraint Based Mining of First Order Sequences in SeqLog.
In: Mika Klemettinen and Rosa Meo (Eds.): Proceedings of the First International Workshop on Inductive Databases, 20 August 2002, Helsinki, Finland. pp. 76-92. Helsinki University Printing House, Helsinki.(2002) [pdf]

Ulrich R\"uckert and Stefan Kramer and Luc De Raedt.Phase Transitions and Stochastic Local Search in k-Term DNF Learning.
In: Tapio Elomaa and Heikki Mannila and Hannu Toivonen (Eds.): ECML.Lecture Notes in Computer Science2430. pp. 405-417. Springer.(2002)

Kristian Kersting and Luc De Raedt.Towards Combining Inductive Logic Programming and Bayesian Networks.
In: C. Rouveirol and M. Sebag (Eds.): Proceedings of the Eleventh International Conference on Inductive Logic Programming (ILP-2001).September.Strasbourg, France.LNAI/2157. pp. 104-117. Springer.(2001)

Kristian Kersting and Luc De Raedt.Adaptive Bayesian Logic Programs.
In: C. Rouveirol and M. Sebag (Eds.): Proceedings of the Eleventh International Conference on Inductive Logic Programming (ILP-2001).September.Strasbourg, France.LNAI/2157. pp. 104-117. Springer.(2001)

Luc De Raedt and Stefan Kramer.The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.
In: Bernhard Nebel (Ed.): IJCAI. pp. 853-862. Morgan Kaufmann.(2001) [pdf]

Stefan Kramer and Luc De Raedt.Feature Construction with Version Spaces for Biochemical Applications.
In: Carla E. Brodley and Andrea Pohoreckyj Danyluk (Eds.): ICML. pp. 258-265. Morgan Kaufmann.(2001) [pdf]

Stefan Kramer and Luc De Raedt and Christoph Helma.Molecular Feature Mining in HIV data.
In: Foster Provost and Ramakrishnan Srikant (Eds.): Proc. KDD-01.August.New York. pp. 136-143. ACM Press.(2001) [pdf]

Wim Van Laer and Luc De Raedt.How to Upgrade Propositional Learners to First Order Logic: A Case Study.
In: Georgios Paliouras and Vangelis Karkaletsis and Constantine D. Spyropoulos (Eds.): Machine Learning and Its Applications.Lecture Notes in Computer Science2049. pp. 102-126. Springer.(2001) [pdf]

Kristian Kersting and Luc De Raedt.Bayesian Logic Programs.
In: James Cussens and Alan M. Frisch (Eds.): ILP Work-in-progress reports.CEUR Workshop Proceedings35. Technical University of Aachen (RWTH).(2000)

Luc De Raedt.A Logical Database Mining Query Language.
In: James Cussens and Alan M. Frisch (Eds.): ILP.Lecture Notes in Computer Science1866. pp. 78-92. Springer.(2000)

Luc De Raedt and Hendrik Blockeel.Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial.
In: Jan M. Zytkow and Jan Rauch (Eds.): PKDD.Lecture Notes in Computer Science1704. pp. 590. Springer.(1999)

Tamás Horváth and Björn Bringmann and Luc De Raedt.Frequent Hypergraph Mining.
Working Notes of the ECML-06 Workshop on Mining and Learning with Graphs (MLG 2006).2006

Björn Bringmann and Albrecht Zimmermann.Tree² - Decision Trees for Tree Structured Data.
Lernen, Wissensentdeckung und Adaptivität, Workshop GI Fachgruppe Maschinelles Lernen, part of LWA.2005 [pdf]

Björn Bringmann and Andreas Karwath.Frequent SMILES.
Lernen, Wissensentdeckung und Adaptivität, Workshop GI Fachgruppe Maschinelles Lernen, part of LWA.2004 [pdf]

J. Ramon and L. De Raedt.Multi instance neural networks.
2000 [pdf]