Bibliography
Major publications by the team in recent years
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1P. Besnard, M.-O. Cordier, Y. Moinard.
Ontology-based inference for causal explanation, in: Integrated Computer-Aided Engineering, 2008, vol. 15, no 4, pp. 351-367.
http://hal.inria.fr/inria-00476906/en/ -
2C. Gascuel-Odoux, P. Aurousseau, M.-O. Cordier, P. Durand, F. Garcia, V. Masson, J. Salmon-Monviola, F. Tortrat, R. Trépos.
A decision-oriented model to evaluate the effect of land use and agricultural management on herbicide contamination in stream water, in: Environmental modelling & software, 2009, vol. 24, pp. 1433-1446.
http://hal.inria.fr/hal-00544122/en -
3T. Guyet, R. Quiniou.
Extracting temporal patterns from interval-based sequences, in: International Joint Conference on Artificial Intelligence (IJCAI), Barcelone, Spain, July 2011.
http://hal.inria.fr/inria-00618444 -
4Y. Pencolé, M.-O. Cordier.
A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks, in: Artificial Intelligence Journal, 2005, vol. 164, no 1-2, pp. 121-170.
http://hal.inria.fr/inria-00511104/en/
Doctoral Dissertations and Habilitation Theses
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5T. Bouadi.
Analyse multidimensionnelle interactive de résultats de simulation. Aide à la décision dans le domaine de l'agroécologie, Université Rennes 1, November 2013.
http://hal.inria.fr/tel-00933375 -
6Y. Zhao.
Modélisation qualitative des agro-écosystèmes et aide à leur gestion par utilisation d'outils de model-checking, Université Rennes 1, January 2014.
http://hal.inria.fr/tel-00933443
Articles in International Peer-Reviewed Journals
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7A. Aubert, R. Tavenard, R. Emonet, A. De Lavenne, S. Malinowski, T. Guyet, R. Quiniou, J.-M. Odobez, P. Mérot, C. Gascuel-Odoux.
Clustering flood events from water quality time-series using Latent Dirichlet Allocation model, in: Water Resources Research, 2013, 1 p. [ DOI : 10.1002/2013WR014086 ]
http://hal.inria.fr/halshs-00906292 -
8T. Bouadi, M.-O. Cordier, R. Quiniou.
Computing Skyline Incrementally in Response to Online Preference Modification, in: Transactions on Large-Scale Data- and Knowledge- Centered Systems, 2013, vol. 10, pp. 34-59. [ DOI : 10.1007/978-3-642-41221-9_2 ]
http://hal.inria.fr/hal-00920548 -
9R. Trépos, A. Salleb-Aouissi, M.-O. Cordier, V. Masson, C. Gascuel-Odoux.
Building Actions From Classification Rules, in: Knowledge and Information Systems (KAIS) journal, 2013, vol. 34, no 2, pp. 267-298. [ DOI : 10.1007/s10115-011-0466-5 ]
http://hal.inria.fr/hal-00649388
Articles in National Peer-Reviewed Journals
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10V. Masson, F. Ployette, M.-O. Cordier, C. Gascuel-Odoux, R. Trépos.
Sacadeau-Software, un logiciel d'aide à la décision pour améliorer la qualité de l'eau, in: Revue d'Intelligence Artificielle, September 2013, vol. 27, no 4-5, pp. 443-469. [ DOI : 10.3166/RIA.27.443-469 ]
http://hal.inria.fr/hal-00881658
International Conferences with Proceedings
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11S. Benabderrahmane.
Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking, in: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, N. Peek (editor), June 2013, vol. 7885, pp. 84-93. [ DOI : 10.1007/978-3-642-38326-7_13 ]
http://hal.inria.fr/hal-00934265 -
12S. Benabderrahmane.
Enhancing Transcriptomic Data Mining with Semantic Ranking: Towards a new Functional Spectral Representation, in: International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2013, Granada, Spain, ISBN 978-84-15814-13-9, March 2013, vol. 15814, pp. 978-84.
http://hal.inria.fr/hal-00934279 -
13S. Benabderrahmane.
Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data, in: International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2014, Granada, Spain, April 2014, 1 p.
http://hal.inria.fr/hal-00935378 -
14P. Besnard, M.-O. Cordier, Y. Moinard.
Arguments using ontological and causal knowledge, in: FoIKS, Bordeaux, France, C. Beierle, C. Meghini (editors), LNCS, Springer, March 2014, vol. 8367, pp. 79–96.
http://hal.inria.fr/hal-00931679 -
15M.-O. Cordier, R. Micalizio, S. Robin, L. Rozé.
Adapting Web Services to Maintain QoS Even When Faults Occur, in: ICWS - IEEE 20th International Conference on Web Services, Santa Clara - CA, United States, 2013, pp. 403-410. [ DOI : 10.1109/ICWS.2013.61 ]
http://hal.inria.fr/hal-00920474 -
16T. Guyet.
Visualisation de données relationnelles, in: Conférence Internationale de Géomatique et d'Analyse Spatiale (SAGEO), Brest, France, September 2013.
http://hal.inria.fr/hal-00916923 -
17T. Guyet, F. Le Ber, S. Da Silva, C. Lavigne.
Comparaison des chemins de Hilbert adaptatif et des graphes de voisinage pour la caractérisation d'un parcellaire agricole, in: Conférence Extraction et Gestion de Connaissances, Rennes, France, January 2014.
http://hal.inria.fr/hal-00916964 -
18T. Guyet, H. Nicolas, B. Ghedamsi, E. Athane.
Fouille d'images géoréférencées avec RapidMiner, in: Conférence Internationale de Géomatique et d'Analyse Spatiale (SAGEO), Brest, France, September 2013.
http://hal.inria.fr/hal-00916921 -
19S. Malinowski, T. Guyet, R. Quiniou, R. Tavenard.
1d-SAX: A Novel Symbolic Representation for Time Series, in: International Symposium on Intelligent Data Analysis, United Kingdom, 2013, pp. 273-284. [ DOI : 10.1007/978-3-642-41398-8_24 ]
http://hal.inria.fr/halshs-00912512 -
20S. Malinowski, T. Guyet, R. Quiniou, R. Tavenard.
1d-SAX : une nouvelle représentation symbolique pour les séries temporelles, in: Conférence Extraction et Gestion de Connaissances, Rennes, France, January 2014.
http://hal.inria.fr/hal-00916970
National Conferences with Proceedings
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21J. Bourbeillon, L. Piel, R. El Ayeb, D. Rousselière, T. Guyet.
Construction semi-automatique d'une ontologie de la perception des paysages, in: Conférence Ingénierie des Connaissances 2013, Lille, France, May 2013, pp. 1-10.
http://hal.inria.fr/hal-00920722
Conferences without Proceedings
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22P. Besnard, M.-O. Cordier, Y. Moinard.
Arguments using ontological and causal knowledge, in: JIAF 2013 (Septièmes Journées de l'Intelligence Artificielle Fondamentale), Aix-en-Provence, France, S. Konieczny, N. Maudet (editors), April 2013, pp. 41-48.
http://hal.inria.fr/hal-00932294
Scientific Books (or Scientific Book chapters)
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23L. Amgoud, P. Besnard, C. Cayrol, P. Chatalic, M.-C. Lagasquie-Schiex.
Argumentation et raisonnement en présence de contradictions, in: Panorama de l'intelligence artificielle Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.
http://hal.inria.fr/hal-00770580 -
24M.-O. Cordier, P. Dague, Y. Pencolé, L. Travé-Massuyès.
Diagnostic et supervision : approches à base de modèles, in: Panorama de l'intelligence artificielle : Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.
http://hal.inria.fr/hal-00769636 -
25T. Guyet, F. Le Ber, M. Teisseire.
Intelligence artificielle et agronomie, Revue d'Intelligence Artificielle, July 2013, vol. 27, 273 p.
http://hal.inria.fr/hal-00916980 -
26A. Herzig, P. Besnard.
Représentation des connaissances : modalités, conditionnels et raisonnement non monotone, in: Panorama de l'intelligence artificielle Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.
http://hal.inria.fr/hal-00770563 -
27A. Lallouet, Y. Moinard, P. Nicolas, I. Stéphan.
Programmation logique, in: Panorama de l'intelligence artificielle Ses bases méthodologiques, ses développements, P. Marquis, O. Papini, H. Prade (editors), Cépaduès, January 2013, vol. 2.
http://hal.inria.fr/hal-00758896
Internal Reports
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28F. Gourmelon, D. Le Guyader, G. Fontenelle, H. Levrel, C. Tissot, L. Bonneau De Beaufort, M. Rouan.
Modélisation et scénarisation des activités humaines en rade de Brest, February 2013, 93 p.
http://hal.inria.fr/hal-00797154
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29B. Dubuisson (editor)
Diagnostic, intelligence artificielle et reconnaissance des formes, Traité IC2 : Information - Commande - Communication, Hermes, 2001. -
30S. Dzeroski, N. Lavrač (editors)
Relational Data Mining, Springer, Berlin, 2001. -
31W. Hamscher, L. Console, J. de Kleer (editors)
Readings in Model-Based Diagnosis, Morgan Kaufmann, San Meteo, CA, Etats-Unis, 1992. -
32C. Aggarwal.
Data Streams: Models and Algorithms, Advances in Database Systems, Springer, 2007. -
33R. Agrawal, T. Imielinski, A. N. Swami.
Mining Association Rules between Sets of Items in Large Databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C., P. Buneman, S. Jajodia (editors), 26–28 1993, pp. 207–216. -
34R. Agrawal, R. Srikant.
Mining sequential patterns, in: Eleventh International Conference on Data Engineering, Taipei, Taiwan, P. S. Yu, A. S. P. Chen (editors), IEEE Computer Society Press, 1995, pp. 3–14. -
35G. Alarme.
Monitoring and alarm interpretation in industrial environments, in: AI Communications, 1998, vol. 11, 3-4, pp. 139-173, S. Cauvin, Marie-Odile Cordier, Christophe Dousson, P. Laborie, F. Lévy, J. Montmain, M. Porcheron, I. Servet, L. Travé-Massuyès. -
36M. L. Angheloiu.
Incremental and adaptive learning for online monitoring of embedded software, Master 2 recherche informatique, Université de Rennes 1, June 2012.
http://dumas.ccsd.cnrs.fr/dumas-00725171 -
37M. Basseville, M.-O. Cordier.
Surveillance et diagnostic de systèmes dynamiques : approches complémentaires du traitement de signal et de l'intelligence artificielle, Irisa, 1996, no 1004.
ftp://ftp.irisa.fr/techreports/1996/PI-1004.ps.gz -
38P. Besnard, M.-O. Cordier.
Inferring causal explanations, in: Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99), A. Hunter, S. Parsons (editors), Lecture Notes in Artificial Intelligence, Springer-Verlag, 1999, vol. 1638, pp. 55-67. -
39P. Besnard, M.-O. Cordier, Y. Moinard.
Configurations for Inference between Causal Statements, in: KSEM 2006 (First Int. Conf. on Knowledge Science, Engineering and Management), J. Lang, F. Lin, J. Wang (editors), LNAI, Springer, aug 2006, no 4092, pp. 292–304.
http://www.irisa.fr/dream/dataFiles/moinard/causeksempub.pdf -
40P. Besnard, M.-O. Cordier, Y. Moinard.
Ontology-based inference for causal explanation, in: KSEM07 (Second International Conference on Knowledge Science, Engineering and Management), Z. Zhang, J. Siekmann (editors), LNAI, Springer, nov 2007, no 4798, pp. 153-164.
http://www.irisa.fr/dream/dataFiles/moinard/ksem07bcausesonto.pdf -
41P. Besnard, M.-O. Cordier, Y. Moinard.
Deriving explanations from causal information, in: ECAI 2008 (18th European Conference on Artificial Intelligence), Patras, Greece, M. Ghallab, C. D. Spytopoulos, N. Fakotakis, N. Avouris (editors), IOS Press, jul 2008, pp. 723–724. -
42P. Besnard, M.-O. Cordier, Y. Moinard.
Ontology-based inference for causal explanation, in: Integrated Computer-Aided Engineering, 2008, vol. 15, no 4, pp. 351-367. -
43P. Besnard, A. Hunter.
Elements of Argumentation, The MIT Press, june 2008.
http://www.mitpress.mit.edu/ -
44C. Biernacki, G. Celeux, G. Govaert, F. Langrognet.
Model-Based Cluster and Discriminant Analysis with the MIXMOD Software, in: Computational Statistics and Data Analysis, 2006, vol. 51, no 2, pp. 587-600. -
45A. Bochman.
A Causal Theory of Abduction, in: 7th Int. Symposium on Logical Formalizations of Common Sense Reasoning, S. McIlraith, P. Peppas, M. Thielscher (editors), 2005, pp. 33–38. -
46T. Bouadi, M.-O. Cordier, R. Quiniou.
Incremental Computation of Skyline Queries with Dynamic Preferences, in: Database and Expert Systems Applications (DEXA), Vienne, Austria, S. W. Liddle, K.-D. Schewe, A. M. Tjoa, X. Zhou (editors), Springer, 2012, vol. 1, pp. 219-233. [ DOI : 10.1007/978-3-642-32600-4_17 ]
http://hal.inria.fr/hal-00757838 -
47Y. Chi, S. Nijssen, R. R. Muntz, J. N. Kok.
Frequent Subtree Mining–An Overview, in: Fundamenta Informaticae, IOS Press, 2005, vol. 66, pp. 161–198. -
48A. Cornuéjols, L. Miclet.
Apprentissage artificiel : concepts et algorithmes, Eyrolles, 2002. -
49L. De Raedt.
A perspective on inductive databases, in: SIGKDD Explor. Newsl., 2002, vol. 4, no 2, pp. 69–77.
http://doi.acm.org/10.1145/772862.772871 -
50C. Dousson.
Chronicle Recognition System, 1994. -
51C. Dousson.
Suivi d'évolutions et reconnaissance de chroniques, Université Paul Sabatier de Toulouse, LAAS-CNRS, Toulouse, 1994. -
52C. Dousson, T. V. Duong.
Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems, in: IJCAI, T. Dean (editor), Morgan Kaufmann, 1999, pp. 620-626. -
53C. Dousson, P. Gaborit, M. Ghallab.
Situation recognition: representation and algorithms, in: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Chambéry, France, 1993, pp. 166-172. -
54S. Dzeroski, L. Todorovski.
Discovering dynamics: from inductive logic programming to machine discovery, in: Journal of Intelligent Information Systems, 1995, vol. 4, pp. 89-108. -
55J. Gao, B. Ding, W. Fan, J. Han, P. S. Yu.
Classifying Data Streams with Skewed Class Distributions and Concept Drifts, in: IEEE Internet Computing, 2008, vol. 12, no 6, pp. 37-49. -
56M. Garofalakis, J. Gehrke, R. Rastogi.
Querying and Mining Data Streams: You Only Get One Look. Tutorial notes, in: ACM Int. Conf. on Management of Data, 2002. -
57E. Giunchiglia, J. Lee, V. Lifschitz, N. McCain, H. Turner.
Nonmonotonic causal theories, in: Artificial Intelligence Journal, March 2004, vol. 153, no 1–2, pp. 49–104. -
58T. Guyet, H. Nicolas, A. Diouck.
Segmentation multi-échelle de séries temporelles d'images satellite : Application à l'étude d'une période de sécheresse au Sénégal, in: Reconnaissance de Forme et Intelligence Artificielle (RFIA), Lyon, France, January 2012.
http://hal.inria.fr/hal-00646158 -
59T. Guyet, R. Quiniou.
Mining temporal patterns with quantitative intervals, in: 4th International Workshop on Mining Complex Data at ICDM 2008, December 2008. -
60T. Guyet, R. Quiniou.
Extraction incrémentale de séquences fréquentes dans un flux d'itemsets, in: Extraction et Gestion de Connaissances (EGC'2012), Bordeaux, France, B. Pinaud, G. Melançon, Y. Lechevallier (editors), RNTI, Hermann, February 2012.
http://hal.inria.fr/hal-00648893 -
61T. Guyet, R. Quiniou.
Incremental mining of frequent sequences from a window sliding over a stream of itemsets, in: Journées Intelligence Artificielle Fondamentale, France, May 2012, pp. 153-162.
http://hal.inria.fr/hal-00757120 -
62D. T. Hau, E. W. Coiera.
Learning qualitative models of dynamic systems, in: Machine Learning, 1997, vol. 26, pp. 177-211. -
63T. Imielinski, H. Mannila.
A database perspective on knowledge discovery, in: Comm. of The ACM, 1996, vol. 39, pp. 58–64. -
64M. Kubat, J. Gama, P. E. Utgoff.
Incremental learning and concept drift, in: Intell. Data Anal., 2004, vol. 8, no 3. -
65C. Largouët, M.-O. Cordier, Y.-M. Bozec, Y. Zhao, G. Fontenelle.
Use Of Timed Automata And Model-Checking To Explore Scenarios On Ecosystem Models, in: Environmental Modelling and Software, November 2011, no 30, pp. 123-138, On-line publication : 26 November 2011. [ DOI : 10.1016/j.envsoft.2011.08.005 ]
http://hal.inria.fr/hal-00649275 -
66E.-G. Lazrak, M. Benoît, J.-F. Mari.
Time-Space Dependencies in Land-Use Successions at Agricultural Landscape Scales, in: International Conference on Integrative Landscape Modelling, 2010.
http://hal.inria.fr/inria-00482890 -
67S. D. Lee, L. De Raedt.
Constraint Based Mining of First Order Sequences in SeqLog, LNCS, Springer-Verlag, 2004, vol. 2682, pp. 154-173. -
68J. Lin, E. Keogh, L. Wei, S. Lonardi.
Experiencing SAX: a Novel Symbolic Representation of Time Series, in: Data Mining and Knowledge Discovery, 2007, vol. 15, no 2, pp. 107–144. -
69H. Mannila, H. Toivonen, A. I. Verkamo.
Discovery of Frequent Episodes in Event Sequences, in: Data Mining and Knowledge Discovery, 1997, vol. 1, no 3, pp. 259–289. -
70A. Marascu, F. Masseglia.
Mining sequential patterns from data streams: a centroid approach, in: J. Intell. Inf. Syst., 2006, vol. 27, no 3, pp. 291–307.
http://dx.doi.org/10.1007/s10844-006-9954-6 -
71F. Masseglia, F. Cathala, P. Poncelet.
The PSP Approach for Mining Sequential Patterns, in: Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, 1998, pp. 176–184. -
72Y. Moinard.
A formalism for causal explanations with an Answer Set Programming translation, in: 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010), United Kingdom Belfast, B. Scotney, Z. Jin (editors), LNCS, Springer-Verlag, Aug 2010.
http://hal.inria.fr/inria-00511093/en -
73Y. Moinard.
Using ASP with recent extensions for causal explanations, in: ASPOCP10, Answer Set Programming and Other Computing Paradigms Workshop, associated with ICLP, United Kingdom Edinburgh, M. Balduccini, S. Woltran (editors), Jul 2010.
http://hal.inria.fr/inria-00542880/en -
74D. Page.
ILP: Just Do It, in: Proceedings of ILP'2000, J. Cussens, A. Frisch (editors), LNAI, Springer, 2000, vol. 1866, pp. 3-18. -
75Y. Pencolé, M.-O. Cordier, L. Rozé.
Incremental decentralized diagnosis approach for the supervision of a telecommunication network, in: DX'01 (International Workshop on Principles of Diagnosis), Sansicario, Italy, 2001.
http://www.irisa.fr/dream/dataFiles/ypencole/DX01.pdf -
76R. Quiniou, M.-O. Cordier, G. Carrault, F. Wang.
Application of ILP to cardiac arrhythmia characterization for chronicle recognition, in: ILP'2001, C. Rouveirol, M. Sebag (editors), LNAI, Springer-Verlag, 2001, vol. 2157, pp. 220-227.
http://www.irisa.fr/dream/dataFiles/quiniou/ilp01.pdf -
77N. Ramaux, M. Dojat, D. Fontaine.
Temporal scenario recognition for intelligent patient monitoring, in: Proc. of the 6th Conference on Artificial Intelligence in Medecine Europe (AIME'97), 1997. -
78R. Reiter.
A theory of diagnosis from first principles, in: Artificial Intelligence, 1987, vol. 32, no 1, pp. 57-96. -
79M. Sampath, R. Sengupta, S. Lafortune, K. Sinnamohideen, D. Teneketzis.
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80M. Sampath, R. Sengupta, S. Lafortune, K. Sinnamohideen, D. Teneketzis.
Active Diagnosis of Discrete-Event Systems, in: IEEE Transactions on Automatic Control, 1998, vol. 43, no 7, pp. 908-929. -
81M. Sebag, C. Rouveirol.
Constraint Inductive Logic Programming, in: Advances in Inductive Logic Programming, L. De Raedt (editor), IOS Press, 1996, pp. 277-294. -
82K. Sedki, L. Bonneau De Beaufort.
Cognitive Maps and Bayesian Networks for Knowledge Representation and Reasoning, in: 24th International Conference on Tools with Artificial Intelligence, Greece, 2012, pp. 1035-1040. [ DOI : 10.1109/ICTAI.2012.175 ]
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83P. Smets, R. Kennes.
The Transferable Belief Model, in: Classic Works of the Dempster-Shafer Theory of Belief Functions, R. R. Yager, L. Liu (editors), Studies in Fuzziness and Soft Computing, Springer Berlin Heidelberg, 2008, vol. 219, pp. 693-736. -
84The WS-Diamond Team.
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85A. Vautier, M.-O. Cordier, R. Quiniou.
An Inductive Database for Mining Temporal Patterns in Event Sequences (short version), in: Proceedings of IJCAI-05 (International Joint Conference on Artificial Intelligence), Edinburgh, L. P. Kaelbling, A. Saffiotti (editors), 2005, pp. 1640-1641, Poster. -
86G. Widmer, M. Kubat.
Learning in the Presence of Concept Drift and Hidden Contexts, in: Machine Learning, 1996, vol. 23, no 1, pp. 69-101. -
87X. Yan, J. Han.
gSpan: Graph-Based Substructure Pattern Mining, in: Proceedings of the 2002 IEEE International Conference on Data Mining, Washington, DC, USA, ICDM '02, IEEE Computer Society, 2002, pp. 721–. -
88Y. Zhao, M.-O. Cordier, C. Largouët.
Répondre aux questions "Que faire pour" par synthèse de contrôleur sur des automates temporisés - Application à la gestion de la pêche, in: RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France, January 2012, pp. 978-2-9539515-2-3, Session "Posters".
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89J. de Kleer, A. Mackworth, R. Reiter.
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