Christel Vrain: Research Papers

The PostScript and PDF files correspond to research reports or preprint versions.

2008

Collections of Compounds - How to Deal with them ?
J. Dubois, S. Bourg, C. Vrain et L. Morin-Allory, 2008
Current Computer-Aided Drug Design, Vol.4, No.3, pp.156-168
A Comparison between Two Statistical Relational Models
Lorenza Saitta et Christel Vrain, 2008
ILP, Filip Zelezny et Nada Lavrac ed., Vol.5194, LNCS, pp.244-260, Springer
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2007

On the Discovery of Exception Rules: A Survey.
B. Duval, A. Salleb, C. Vrain 2007
Quality Measures in Data Mining , Springer in the Series Studies in Computational Intelligence, pp.77-99.
QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules
A. Salleb, C. Vrain et C. Nortet, 2007
IJCAI 2007 Manuela Veloso ed., pp.1035-1040, Hyderabad, India, AAAI, janvier, 2007
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases.
A. Salleb et C. Vrain, 2007. Fundamenta Informaticae, Vol.78, No.4, pp.575-594
"Intelligent Information Systems", Special Issue Z.W. Ras, A. Dardzinska , (editors), IOS Press

2006

Structuring natural language data by learning rewriting rules.
G. Cleuziou, L. Martin et C. Vrain, 2006.
16th International Conference on Inductive Logic Programming (ILP'06 - Short papers) August 24-27, 2006
A proximity measure and a clustering method for concept extraction in an ontology building perspective.
G. Cleuziou, S. Billot, S. Lew, L. Martin et C. Vrain, 2006
ISMIS 06 The 16th International Symposium on Methodologies for Intelligent Systems Bari, Lecture Notes in Artificial Intelligence, pp.697-706, Springer-Verlag, September 27-29, 2006
Une mesure de proximité et une méthode de regroupement pour l'aide à l'acquisition d'ontologies spécialisées
G. Cleuziou, S. Billot, S. Lew, L. Martin et C. Vrain, 2006.
Journées Francophones d' Extraction et de Gestion des Connaissances EGC'2006
Vol.1, pp.163-174, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, janvier, 2006

2005

Estimation of Datasets Density Relying on Decision Diagrams.
A. Salleb et C. Vrain, 2005.
15th International Symposium on Methodologies for Intelligent Systems ISMIS, M. Hacid, Z. W. Ras et S. Tsumoto eds., Springer Lecture Notes in Artificial Intelligence (LNAI), 2005.
- Springer
Extraction de Règles d'Association Quantitatives - Application à des Données Médicales.
C. Nortet, A. Salleb, T. Turmeaux et C. Vrain. 5èmes journées d'Extraction et de Gestion de Connaissances EGC'2005, N. Vincent et S. Pinson eds., Cépaduès éditions, 2005.
Le rôle de l'utilisateur dans un processus d'extraction de règles d'association.
C. Nortet, A. Salleb, T. Turmeaux et C. Vrain, 2005. Atelier DKQ 2005 (associé aux 5èmes journées d'Extraction et de Gestion de Connaissances EGC'2005), 2005.

2004

PoBOC: an Overlapping Clustering Algorithm. Application to Rule-Based Classification and Textual Data.
G. Cleuziou, L. Martin et C. Vrain, 2004.
Proceedings of the 16th European Conference on Artificial Intelligence, ECAI 2004, R. López de Mántaras, L. Saitta et IOS Press eds., pp.440-444, Valencia, Spain, August 22-27, 2004.
Méthodes et mesures d'intérêt pour l'extraction de règles d'exception.
B. Duval, A. Salleb et C. Vrain, 2004.
Revue des Nouvelles Technologies de l'Information - Mesures de Qualité pour la Fouille de Données RNTI-E-1, Cépaduès éditions, H. Briand, M. Sebag, R. Gras et F. Guillet eds., pp.119-140, 2004.
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DDOC: Overlapping Clustering of Words for Document Classification.
G. Cleuziou, L. Martin, V. Clavier et C. Vrain, 2004.
Proceedings of the 11th International Conference on String Processing and Information Retrieval, Vol.3246, LNCS, pp.127-128, Padova, Italy, Springer, October, 2004.
Mining Quantitative Association Rules in a Atherosclerosis Dataset, 2004.
A. Salleb, T. Turmeaux, C. Vrain et C. Nortet.
Proceedings of the PKDD Discovery Challenge 2004 (co-located with the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases), pp. 98-103, Pisa, Italy, september, 2004.
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BoolLoader : un chargeur efficace dédié aux bases de transactions denses.
Z. Maazouzi, A. Salleb et C. Vrain, 2004. Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2004, pp.71-81, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, janvier, 2004.
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PoBOC : un algorithme de ``soft-clustering''. Applications à l'apprentissage de règles et au traitement de données textuelles.
Cleuziou, L. Martin et C. Vrain. Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2004. Vol.1, pp.217-228, Revue des Nouvelles Technologies de l'Information, Cépaduès-Edition, 2004.
Can we load efficiently dense datasets?
A. Salleb, C. Vrain , 2004. RR-2004-04, Laboratoire d'Informatique Fondamentale d'Orléans.
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2003

Disjunctive Learning with a Soft-Clustering Method.
G. Cleuziou, L. Martin et C. Vrain, 2003.
13th International Conference on Inductive Logic Programming, Szeged, Hungary, LNCS, Springer, September 2003.
Learning Characteristic Rules Relying on Quantified Paths.
T. Turmeaux, A. Salleb, C. Vrain and D. Cassard, 2003.
7th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD) , Springer-Verlag, Lecture Notes in Computer Science, September, 2003.
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Apprentissage de Règles Caractéristiques,
T. Turmeaux, D. Cassard, A. Salleb et C. Vrain. Journées Francophones d'Extraction et de Gestion des Connaissances EGC'2003, Hermès science publications, revue RSTI - RIA , Vol.17, pp.437-448
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Learning Characteristic Rules Relying on Quantified Paths.
T. Turmeaux, A. Salleb, C.Vrain, D. Cassard, 2003. RR-2003-03, Laboratoire d'Informatique Fondamentale d'Orléans.
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2002

Mining Maximal Frequent Itemsets by a Boolean Approach.
A.Salleb, Z. Maazouzi, C. Vrain, 2002.
ECAI, 15th European Conference on Artificial Intelligence , F. van Harmelen and IOS Press Amsterdam ed., 2002.
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Search Space Splitting for Mining Maximal Frequent Itemsets
A. Salleb, Z. Maazouzi, C. Vrain, 2002.
International Conference on Information and Knowledge Engineering IKE'02 , Las Vegas, USA, CSREA Press ed., June 2002.
Learning verbal relations in text maps.
I. Debourges, S. Guilloré-Billot, C. Vrain, 2002.
JADT 2002 - 6èmes Journées Internationales d'Analyse Statistique de Données Textuelles , A. Morin and P. Sébillot ed., Vol.1, pp.245-256, St-Malo, March, 2002.

2001

A Genetic Algorithm for Propositionalization.
A. Braud and C. Vrain, 2001.
Proceedings of the 11th International Conference on Inductive Logic Programming, ILP , C. Rouveirol and M. Sebag ed., Vol.2157, Lecture Notes in Artificial Intelligence, pp.27-40, Springer-Verlag, sep, 2001.
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A Study of the Scalability of a Data Mining Genetic Algorithm on a Distributed Database.
A. Braud and C. Vrain, 2001.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) , L. Spector, E. D. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. H. Garzon and E. Burke ed., pp.753, San Francisco, California, USA, Morgan Kaufmann, 7-11 July, 2001.
TEXT MAPPING: A New Approach for Exploring Large Corpora.
I. Debourges , C. Vrain and S. Guillore,
Proceedings of the Fourth International Workshop on Computational Semantics (IWCS-4) , pp.447-450, Tilburg, January, 2001.

2000

Mining Relational Databases.
F. Moal, T. Turmeaux and C. Vrain, 2000.
Proceedings of the Principles of Data Mining and Knowledge Discovery (PKDD 2000) , D.A. Zighed, J. Komorowski and J. Zytkow ed., Vol.1910, LNAI, pp.536-541, Springer, 2000.
- Springer
An Application of Association Rule Discovery to Geographic Information Systems.
A. Salleb and C. Vrain, 2000.
Principles of Data Mining and Knowledge Discovery (PKDD 2000) , D.A. Zighed, J. Komorowski and J. Zytkow ed., Vol.1910, LNAI ,pp. 613-618, Springer, 2000.
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1999

Declarative Expressions of biases in Genetic Programming.
L. Martin, F. Moal, C. Vrain, 1999
GECCO 1999, Orlando, Floride, Morgan Kaufmann, pp. 401-408, 1999.
A Parallel Genetic Algorithm based on the BSP model.
A. Braud, C. Vrain C., 1999.
Workshop Evolutionary computation and parallel processing , E. Cantu-Paz and B. Punch, GECCO 1999.
Learning in Constraint Databases
T. Turmeaux, C. Vrain, 1999.
DS99 , S. Arikawa, K. Furukawa (Eds.), LNAI 1721, Springer, Berlin, pp.196-207, 1999.
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Parallélisation d'Algorithmes Génétiques avec le Modèle BSP.
Braud A., Vrain C.,
CAP 99, Juin 99, France

1998

Acquiring First Order Knowledge about Air Traffic Control.
Y. Kodratoff, C. Vrain, 1998.
Methods and Applications of Machine Learning, Data Mining and Knowledge Discovery , R.S. Michalski, I. Bratko, and M. Kubat (eds.), John Wiley and Sons, Ltd., 1998, chap. 15, pp. 353-386.
A Relational Data Mining Tool Based on Genetic Programming.
L. Martin, F. Moal, C. Vrain, 1998.
PKDD 98 , M. Zytkow, M. Quafafou (Eds.), LNAI 1510, Springer Verlag, pp. 130-138, 1998.
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Apprentissage et mise à jour de bases de données.
C. Vrain, D. Laurent,1998.
TSI, Techniques et Sciences Informatiques, , vol. 17, n 7, pp. 869-894, HERMES, 1998.

1997

Systematic Predicate Invention in Inductive Logic Programming.
L. Martin, C. Vrain, 1997.
ILP 97, N. Lavrac, S. Dzeroski, (Eds.), LNAI 1297, Springer Verlag, pp. 189-204, 1997.
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Efficient Induction of Numerical Constraints.
L. Martin, C. Vrain, 1997.
ISMIS 97, Z.W. Ras, A. Skowron (Eds.), LNAI 1325, Springer Verlag, pp. 167-176, 1997.
- Springer
Learning linear constraints in Inductive Logic Programming.
L. Martin, C. Vrain, 1997.
ECML 97, M. van Someren, G. Widmer (Eds.), LNAI 1224, Springer Verlag, pp. 162-169.
- Springer

1996

A three-valued framework for the induction of general programs
L. Martin, C. Vrain.
Advances in Inductive Logic Programming , L. de Raedt (Ed.), IOS Press, pp. 219-235.
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Learning Query Rules for Optimizing Databases with Update Rules.
D. Laurent, C. Vrain, 1996.
LID 96 (Logic in Databases), LNCS 1154, pp. 153-172
Induction of constraint logic programs
L. Martin, C. Vrain, 1996.
ALT'96, LNAI 1160, Springer Verlag, pp. 169-177
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Hierarchical Conceptual Clustering in a first order representation. C. Vrain, 1996.
ISMIS'96, LNAI 1079, Springer Verlag, pp. 643-652.
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Updates and Induction in Deductive Databases. C. Vrain, D. Laurent, 1996.
Workshop Abductive and Inductive reasoning, ECAI 96, pp. 62-67.
Apprentissage de Connaissances et Induction de programmes logiques.
Vrain Ch.,
Rapport d'habilitation à diriger des recherches, Université d'Orléans, 1996.

1995

MULT_ICN: an empirical multiple predicate learner
L. Martin, C. Vrain, 1995.
ILP 95, Leuven, 4-6 September 1995, pp. 129-144.
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A three-valued framework for the induction of general programs.
L. Martin, C. Vrain, 1995.
ILP 95, Leuven, 4-6 September 1995,pp. 109-128.
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Apprentissage de Règles et Bases de Données Déductives.
Vrain Ch., Laurent D.,
BDA 95, Nancy, France, 1995.

1994

Inductive learning of normal clauses.
Vrain C., L. Martin, 1994.
ECML 94, LNAI 784,Springer Verlag, pp. 435-438.
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Induction de clauses normales : application au système FOIL.
JFA 94, Strasbourg, pp. J-1 - J-14, 1994.
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1993

Acquiring First Order Knowledge about Air Traffic Control,
Y. Kodratoff, C. Vrain, 1993.
Knowledge Acquisition Journal , B.R. Gaines & J.H. Boose, (Eds.), Academic Press Limited.

1992

Building a Tool for Software Code Analysis, A Machine Learning Approach.
G. Fouqué, C. Vrain, 1992. 4th Conference on Advanced Information Systems Engineering, CAISE 92 Manchester, UK, 12-15 May 1992.

1991

Acquiring first-order knowledge about air traffic control.
C. Vrain, Y. Kodratoff, 1991. Proceedings of the Knowledge Acquisition Workshop, KAW 91 Banff, 6-11 October 1991.
Acquisition of first order knowledge and its application to air traffic control.
C. Vrain, Y. Kodratoff, 1991. Proceedings of the 5th European Knowledge Acquisition for Knowledge Based Systems Workshop, EKAW 91. Crieff Hydro, Scotland, May 20th - May 24th , pp. 415-431, 1991.

1990

OGUST: a system which learns using domain properties expressed as theorems.
C. Vrain, 1990.
Machine Learning 3, an Artificial Intelligence Approach Y. Kodratoff et R.S. Michalski (eds.) Morgan Kaufman publisher, pp. 360-382, 1990.
also published in French in Apprentissage Symbolique
Cépaduès-Edition, 1993, recueil d'articles traduits en français, extraits de Machine Learning, an Artificial Intelligence Approach.

Before 1990

Analogous dissimilarities.
C. Vrain, Y. Kodratoff, 1989.
Perspectives in Artificial Intelligence, vol. 1: Expert Systems Applications and Technical Foundations , J.A. Campbell, J. Cuena (Eds.), Ellis Horwood Series in Artificial Intelligence, pp. 40-50, 1989.
The use of Analogy in incremental SBL,
C. Vrain, Y. Kodratoff, 1989.
Knowledge Representation and Organization in Machine Learning, 347 , K. Morik (ed.), Lecture Notes in Artificial Intelligence, Springer Verlag, pp. 231-246, 1989.
AGAPE: An Algorithm that Learns from Similarities. C. Vrain, M. Manago, J.G. Ganascia, Y. Kodratoff, 1989.
Machine and Human Learning, Advances in European Research , the Michael Horwood Series in Artificial Intelligence, Y. Kodratoff et A. Hutchinson (eds.), pp. 77-90, 1989.
An Analogical Method to do Incremental Learning of Concepts.
C. Vrain, C.R. Lu, 1988. Proceedings of the third European Working Session on Learning, EWSL 88 Turing Institute, Glasgow, 3-5 Octobre 1988, eds. D. Sleeman, PITMAN, pp. 227-237.
Machine Learning applied to Air Traffic Control.
J.J. Cannat, C. Vrain, 1988. Proceedings Human Machine Interaction, Artificial Intelligence,Aeronautics and Space Toulouse, Septembre 1988, pp. 265-274, CEPAD Toulouse.
Analogous dissimilarities.
C. Vrain, Y. Kodratoff, 1987. International Workshop on Knowledge Representation and Organization in Machine Learning Schloss Eringerfeld, Geseke, West Germany, 4-7 Octobre 1987.
The use of domain properties expressed as theorems in Machine Learning.
C. Vrain, 1986. Proceedings of the International Meeting on Advances in Learning, IMAL 86 Les Arcs, July 28th-August 1st pp 78-92, 1986.
AGAPE, an algorithm that learns from similarities.
C. Vrain, M. Manago, J.G. Ganascia, Y. Kodratoff, 1986. Proceedings of the European Working Session on Learning, EWSL 86 Orsay February 3-4th 1986.
Counterexamples and Explanations.
C. Vrain, 1986. 1st International Conference on Applications of AI to Engineering Problems Southampton, D. Sriram, R. Adey (Eds.), Springer-Verlag, pp. 77-84, 1986.
Hierarchical Concept Clustering.
J.F. Puget, N. Benamou, C. Vrain, Y. Kodratoff, 1986. 1st International Conference on Applications of AI to Engineering Problems Southampton, D. Sriram, R. Adey (Eds.), Springer-Verlag, pp. 85-97, 1986.
Apprentissage incrémental par analogie.
Vrain C., Lu C.R., 1988. 3èmes Journées Françaises de l'Apprentissage, JFA Cassis, 5-6 Mai 1988, pp. 219-239.
Apprentissage "déductif" et explications à partir de contre-exemples.
Kodratoff Y., Ganascia J.G., Vrain C., Comptes rendus de la journée française sur l'Apprentissage, JFA 86 Orsay , 5 Février 86.
Contre-exemples: explications déduites de l'étude des prédicats.
Vrain C., 5ème congrès Reconnaissance des Formes et Intelligence Artificielle, RFIA Grenoble 27-29 Novembre 1985, tome 1, pp 145-159.