Bibliography
Major publications by the team in recent years
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1E. Bresso, R. Grisoni, G. Marchetti, A.-S. Karaboga, M. Souchet, M.-D. Devignes, M. Smaïl-Tabbone.
Integrative relational machine-learning for understanding drug side-effect profiles, in: BMC Bioinformatics, 2013, vol. 14, no 1, 207 p. [ DOI : 10.1186/1471-2105-14-207 ]
https://hal.inria.fr/hal-00843914 -
2M. Couceiro, D. Dubois, H. Prade, T. Waldhauser.
Decision-making with Sugeno integrals: Bridging the gap between multicriteria evaluation and decision under uncertainty, in: Order, 2016, vol. 33, no 3, pp. 517-535. [ DOI : 10.1007/s11083-015-9382-8 ]
https://hal.archives-ouvertes.fr/hal-01184340 -
3K. Dalleau, N. Coumba Ndiaye, A. Coulet.
Suggesting valid pharmacogenes by mining linked data, in: Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2015, Cambridge, United Kingdom, Proceedings of the Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2015, December 2015.
https://hal.inria.fr/hal-01239568 -
4V. Dufour-Lussier, F. Le Ber, J. Lieber, L. Martin.
Case Adaptation with Qualitative Algebras, in: International Joint Conferences on Artificial Intelligence, Pékin, China, F. Rossi (editor), Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, AAAI Press, August 2013, pp. 3002-3006.
https://hal.inria.fr/hal-00871703 -
5Z. Dvořák, J.-S. Sereni, J. Volec.
Subcubic triangle-free graphs have fractional chromatic number at most , in: Journal of the London Mathematical Society, June 2014, vol. 89, no 3, pp. 641–662.
https://hal.archives-ouvertes.fr/hal-00779634 -
6E. Egho, C. Raïssi, T. Calders, N. Jay, A. Napoli.
On measuring similarity for sequences of itemsets, in: Data Mining and Knowledge Discovery, May 2015, vol. 29, no 3, 33 p. [ DOI : 10.1007/s10618-014-0362-1 ]
https://hal.inria.fr/hal-01094383 -
7E. Galbrun, A. Gionis, N. Tatti.
Top-k overlapping densest subgraphs, in: Data Mining and Knowledge Discovery, September 2016, vol. 30, no 5, pp. 1134 - 1165. [ DOI : 10.1007/s10618-016-0464-z ]
https://hal.archives-ouvertes.fr/hal-01399184 -
8M. Kaytoue, V. Codocedo, A. Buzmakov, J. Baixeries, S. O. Kuznetsov, A. Napoli.
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing, in: Machine Learning and Knowledge Discovery in Databases, Porto, Portugal, A. Bifet, M. May, B. Zadrozny, R. Gavalda, D. Pedreschi, F. Bonchi, J. Cardoso, M. Spiliopoulou (editors), Lecture Notes in Computer Science, Springer International Publishing, 2015, vol. 9286, pp. 227-231. [ DOI : 10.1007/978-3-319-23461-8_19 ]
https://hal.archives-ouvertes.fr/hal-01188637 -
9J.-F. Mari, E.-G. Lazrak, M. Benoît.
Time space stochastic modelling of agricultural landscapes for environmental issues, in: Environmental Modelling and Software, March 2013, vol. 46, pp. 219-227. [ DOI : 10.1016/j.envsoft.2013.03.014 ]
https://hal.inria.fr/hal-00807178
Doctoral Dissertations and Habilitation Theses
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10E. Gaillard.
Managing and exploiting knowledge produced by an e-community – Application to case-based reasoning, Université de Lorraine, CNRS, Inria, LORIA, UMR 7503, June 2016.
https://hal.inria.fr/tel-01415288 -
11M. T. Tang.
An Interactive and Iterative Knowledge Extraction Process Using Formal Concept Analysis, Université de lorraine, June 2016.
https://hal.inria.fr/tel-01425357
Articles in International Peer-Reviewed Journals
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12J. Almeida, M. Couceiro, T. Waldhauser.
On the topological semigroup of equational classes of finite functions under composition, in: Journal of Multiple-Valued Logic and Soft Computing, 2016, 24 p.
https://hal.archives-ouvertes.fr/hal-01090645 -
13A. Buzmakov, E. Egho, N. Jay, S. O. Kuznetsov, A. Napoli, C. Raïssi.
On Mining Complex Sequential Data by Means of FCA and Pattern Structures, in: Int. J. Gen. Syst., 2016, vol. 45, no 2, pp. 135-159. [ DOI : 10.1080/03081079.2015.1072925 ]
https://hal.archives-ouvertes.fr/hal-01186715 -
14M. Couceiro, D. Dubois, H. Prade, T. Waldhauser.
Decision-making with sugeno integrals: Bridging the gap between multicriteria evaluation and decision under uncertainty, in: Order, 2016, vol. 33, no 3, pp. 517-535. [ DOI : 10.1007/s11083-015-9382-8 ]
https://hal.archives-ouvertes.fr/hal-01184340 -
15M. Couceiro, L. Haddad, I. G. Rosenberg.
Partial clones containing all Boolean monotone self-dual partial functions, in: Journal of Multiple-Valued Logic and Soft Computing, 2016, vol. 27, no 2-3, pp. 183-192.
https://hal.archives-ouvertes.fr/hal-01093942 -
16M. Couceiro, L. Haddad, K. Schölzel, T. Waldhauser.
A Solution to a Problem of D. Lau: Complete Classification of Intervals in the Lattice of Partial Boolean Clones, in: Journal of Multiple-Valued Logic and Soft Computing, 2016, 8 p.
https://hal.inria.fr/hal-01183004 -
17M. Couceiro, L. Haddad, K. Schölzel, T. Waldhauser.
On the interval of strong partial clones of Boolean functions containing Pol((0,0), (0,1), (1,0)), in: Algebra Universalis, 2016.
https://hal.inria.fr/hal-01404588 -
18M. Couceiro, E. Lehtonen.
On the arity gap of finite functions : results and applications., in: Journal of Multiple-Valued Logic and Soft Computing, 2016, vol. 27, no 1-2, 15 p.
https://hal.inria.fr/hal-01175695 -
19M. Couceiro, J.-L. Marichal, B. Teheux.
Conservative Median Algebras and Semilattices, in: Order, March 2016, vol. 33, no 1, pp. 121-132. [ DOI : 10.1007/s11083-015-9356-x ]
https://hal.inria.fr/hal-01175696 -
20M. Couceiro, J.-L. Marichal, B. Teheux.
Relaxations of associativity and preassociativity for variadic functions, in: Fuzzy Sets and Systems, 2016, vol. 229, pp. 89-97.
https://hal.archives-ouvertes.fr/hal-01184334 -
21M. Couceiro, G. Meletiou.
On a special class of median algebras, in: Miskolc Mathematical Notes, 2016.
https://hal.inria.fr/hal-01248142 -
22E. Galbrun, A. Gionis, N. Tatti.
Top-k overlapping densest subgraphs, in: Data Mining and Knowledge Discovery, September 2016, vol. 30, no 5, pp. 1134 - 1165. [ DOI : 10.1007/s10618-016-0464-z ]
https://hal.archives-ouvertes.fr/hal-01399184 -
23D. Grissa, M. Pétéra, M. Brandolini, A. Napoli, B. Comte, E. Pujos-Guillot.
Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data, in: Frontiers in Molecular Biosciences, June 2016, vol. 3, 15 p. [ DOI : 10.3389/fmolb.2016.00030 ]
https://hal.archives-ouvertes.fr/hal-01421002 -
24M. Krnc, J.-S. Sereni, R. Skrekovski, Z. Yilma.
Closeness Centralization Measure for Two-mode Data of Prescribed Sizes, in: Network Science, 2016.
https://hal.inria.fr/hal-01289470 -
25J.-S. Sereni, J. Volec.
A note on acyclic vertex-colorings, in: Journal of Combinatorics, September 2016, vol. 7, no 4, pp. 725–737.
https://hal.archives-ouvertes.fr/hal-00921122
International Conferences with Proceedings
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26Y. Abid, A. Imine, A. Napoli, C. Raïssi, M. Rusinowitch.
Online link disclosure strategies for social networks, in: The 11th International Conference on Risks and Security of Internet and Systems, Roscoff, France, The 11th International Conference on Risks and Security of Internet and Systems, September 2016.
https://hal.inria.fr/hal-01402062 -
27M. Alam, T. N. N. Le, A. Napoli.
Interactive Exploration over Concept Lattices with LatViz, in: European Conference on Artificial Intelligence, Software Demo Track., The Hague, Netherlands, August 2016.
https://hal.inria.fr/hal-01420752 -
28M. Alam, T. N. N. Le, A. Napoli.
LatViz: A New Practical Tool for Performing Interactive Exploration over Concept Lattices, in: CLA 2016 - Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 2016.
https://hal.inria.fr/hal-01420751 -
29M. Alam, T. N. N. Le, A. Napoli.
Steps Towards Interactive Formal Concept Analysis with LatViz, in: Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence ECAI 2016, The Hague, Netherlands, August 2016.
https://hal.inria.fr/hal-01420753 -
30A. Buzmakov, A. Napoli.
How Fuzzy FCA and Pattern Structures are connected?, in: 5th Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI'2016), The Hague, Netherlands, August 2016.
https://hal.inria.fr/hal-01420997 -
31A. Buzmakov, A. Napoli.
On Scaling of Fuzzy FCA to Pattern Structures, in: The 13th International Conference on Concept Lattices and their Applications (CLA2016), Moscow, Russia, July 2016.
https://hal.inria.fr/hal-01421000 -
32C. Chamard-Jovenin, A. Chesnel, E. Bresso, C. Morel, C. Thiébaut, M. Smaïl-Tabbone, E.-H. Djermoune, M.-D. Devignes, T. Boukhobza, H. Dumond.
Transgenerational effects of ERalpha36 over-expression on mammary gland development and molecular phenotype: clinical perspective for breast cancer risk and therapy., in: 21st World Congress on Advances in Oncology and 19th International Symposium on Molecular Medicine, Athens, Greece, October 2016.
https://hal.archives-ouvertes.fr/hal-01416469 -
34V. Codocedo, J. Baixeries, M. Kaytoue, A. Napoli.
Contributions to the Formalization of Order-like Dependencies using FCA, in: What can FCA do for Artificial Intelligence?, The Hague, Netherlands, August 2016.
https://hal.inria.fr/hal-01420630 -
35B. Daille, E. Jacquey, G. Lejeune, L. F. Melo, Y. Toussaint.
Ambiguity Diagnosis for Terms in Digital Humanities, in: Language Resources and Evaluation Conference, Portorož, Slovenia, May 2016.
https://hal.inria.fr/hal-01423650 -
36K. Dalleau, M. Couceiro, M.-D. Devignes, C. Raïssi, M. Smaïl-Tabbone.
Using aggregation functions on structured data: a use case in the FIGHT-HF project, in: International Symposium on Aggregation and Structures (ISAS 2016), Luxembourg, Luxembourg, G. Kiss, J.-L. Marichal, B. Teheux (editors), International Symposium on Aggregation and Structures (ISAS 2016) - Book of abstracts, July 2016.
https://hal.inria.fr/hal-01399232 -
37D. Grissa, B. Comte, E. Pujos-Guillot, A. Napoli.
A Hybrid Approach for Mining Metabolomic Data, in: FCA4AI@ECAI 2016, La Haye, Netherlands, Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, FCA4AI@ECAI 2016, CEUR-WS.org, August 2016, vol. 1703.
https://hal.archives-ouvertes.fr/hal-01422050 -
38D. Grissa, B. Comte, E. Pujos-Guillot, A. Napoli.
A Hybrid Data Mining Approach for the Identification of Biomarkers in Metabolomic Data, in: Concept Lattices and Their Applications, Moscou, Russia, Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 18-22, 2016, CEUR-WS.org, July 2016, vol. 1624.
https://hal.archives-ouvertes.fr/hal-01421015 -
39D. Grissa, B. Comte, E. Pujos-Guillot, A. Napoli.
A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data, in: ECML PKDD, Riva del garda, Italy, September 2016, pp. 572 - 587. [ DOI : 10.1007/978-3-319-46128-1_36 ]
https://hal.archives-ouvertes.fr/hal-01421011 -
40J. Kalofolias, E. Galbrun, P. Miettinen.
From Sets of Good Redescriptions to Good Sets of Redescriptions, in: Proceedings of the 16th IEEE International Conference on Data Mining, ICDM’16, Barcelona, Spain, December 2016.
https://hal.archives-ouvertes.fr/hal-01399294 -
41N. Kiani, J. Lieber, E. Nauer, J. Schneider.
Analogical Transfer in RDFS, Application to Cocktail Name Adaptation, in: International Conference on Case-Based Reasoning (ICCBR-2016), Atlanta, United States, A. Goel, M. B. Diaz-Agudo, T. Roth-Berghofer (editors), Case-Based Reasoning Research and Development, 24th International Conference, ICCBR 2016, Springer, October 2016, vol. 9969, pp. 218 - 233. [ DOI : 10.1007/978-3-319-47096-2_15 ]
https://hal.inria.fr/hal-01410237 -
42P.-E. Osche, S. Castagnos, A. Napoli, Y. Naudet.
Walk the line: Toward an efficient user model for recommendations in museums, in: 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2016), Thessaloniki, Greece, October 2016, pp. 83 - 88. [ DOI : 10.1109/SMAP.2016.7753389 ]
https://hal.inria.fr/hal-01421548 -
43J. Reynaud, Y. Toussaint, A. Napoli.
Contribution to the Classification of Web of Data based on Formal Concept Analysis, in: What can FCA do for Artificial Intelligence (FCA4AI) (ECAI 2016), La Haye, Netherlands, August 2016.
https://hal.inria.fr/hal-01420466 -
44M. T. Tang, A. Buzmakov, Y. Toussaint, A. Napoli.
Building a Domain Knowledge Model Based on a Concept Lattice Integrating Expert Constraints, in: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 2016, vol. 1624, pp. 349–362.
https://hal.inria.fr/hal-01400452
National Conferences with Proceedings
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45Q. Brabant, M. Couceiro.
Apprentissage d’intégrales de Sugeno à partir de données inconsistantes, in: 25èmes Rencontre Francophone sur la Logique Floue et ses Applications, La Rochelle, France, 25èmes Rencontres Francophones sur la Logique Floue et ses Applications, November 2016, pp. 49-56.
https://hal.archives-ouvertes.fr/hal-01404567 -
46Q. Brabant, M. Couceiro, F. Labernia, A. Napoli.
Une approche de réduction de dimensionnalité pour l'agrégation de préférences qualitatives, in: 16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, Reims, France, January 2016, pp. 345-350.
https://hal.inria.fr/hal-01404913 -
47C. Chamard-Jovenin, A. Chesnel, C. Morel, M.-D. Devignes, M. Smaïl-Tabbone, T. Boukhobza, H. Dumond.
Long chain alkylphenol mixture promotes breast cancer initiation and progression through an ERα36-mediated mechanism, in: 2nd French Workshop on Endocrine disruption in wildlife and human health, Paris, France, January 2016, Présentation Poster.
https://hal.archives-ouvertes.fr/hal-01320688 -
48S. Da Silva, F. Le Ber, C. Lavigne.
Structures de haies dans un paysage agricole : une étude par chemin de Hilbert adaptatif et chaînes de Markov , in: EGC 2016 – 16èemes Journées Francophones "Extraction et Gestion des Connaissances", Reims, France, Revue des Nouvelles Technologies de l'Information, January 2016, vol. RNTI-E-30, pp. 279–290.
https://hal.archives-ouvertes.fr/hal-01266344 -
49G. Personeni, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.
Extraction d'association d'EIM à partir de dossiers patients : expérimentation avec les structures de patrons et les ontologies, in: Deuxième Atelier sur l'Intelligence Artificielle et la Santé, Montpellier, France, Atelier IA & Santé, June 2016.
https://hal.inria.fr/hal-01391172
Conferences without Proceedings
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50E. Galbrun, P. Miettinen.
Analysing Political Opinions Using Redescription Mining, in: Proceedings of the Data Mining in Politics worshop at ICDM 2016, DMiP'16, Barcelona, Spain, December 2016.
https://hal.archives-ouvertes.fr/hal-01399254 -
51G. Personeni, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.
Discovering ADE associations from EHRs using pattern structures and ontologies, in: Phenotype Day, Bio-Ontologies SIG, ISMB, Orlando, United States, July 2016.
https://hal.inria.fr/hal-01369448
Scientific Books (or Scientific Book chapters)
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52A. W. Ghoorah, M.-D. Devignes, M. Smaïl-Tabbone, D. Ritchie.
Classification and Exploration of 3D Protein Domain Interactions Using Kbdock, in: Data Mining Techniques for the Life Sciences, O. Carugo, F. Eisenhaber (editors), Methods in Molecular Biology, Springer Science+Business Media New York, 2016, vol. 1415, pp. 91-105. [ DOI : 10.1007/978-1-4939-3572-7_5 ]
https://hal.inria.fr/hal-01317448
Books or Proceedings Editing
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53S. O. Kuznetsov, A. Napoli, S. Rudolph (editors)
Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2016(co-located with ECAI 2016, The Hague, Netherlands, August 30th 2016), CEUR Workshop Proceedings, CEUR-WS.org, The Hague, Netherlands, 2016, vol. 1703, 135 p.
https://hal.inria.fr/hal-01425672
Internal Reports
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54K. Edwards, A. Girão, J. Van Den Heuvel, R. J. Kang, G. J. Puleo, J.-S. Sereni.
Extension from Precoloured Sets of Edges, Loria & Inria Grand Est, 2016.
https://hal.archives-ouvertes.fr/hal-01024843
Scientific Popularization
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55A. Coulet, M. Smaïl-Tabbone.
Mining Electronic Health Records to Validate Knowledge in Pharmacogenomics, in: ERCIM News, January 2016, no 104, 56 p.
https://hal.inria.fr/hal-01369501 -
56M.-D. Devignes, M. Smaïl-Tabbone, D. Ritchie.
Kbdock - Searching and organising the structural space of protein-protein interactions, in: ERCIM News, January 2016, no 104, pp. 24-25.
https://hal.inria.fr/hal-01258117
Other Publications
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57Y. Abid, A. Imine, A. Napoli, C. Raïssi, M. Rigolot, M. Rusinowitch.
Analyse d'activité et exposition de la vie privée sur les médias sociaux, January 2016, 16ème conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC 2016), Poster.
https://hal.inria.fr/hal-01241619 -
58G. Bosc, J.-F. Boulicaut, C. Raïssi, M. Kaytoue.
Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search, December 2016, working paper or preprint.
https://hal.inria.fr/hal-01418663 -
59M. Couceiro, M. Grabisch.
On integer-valued means and the symmetric maximum, September 2016, Documents de travail du Centre d'Economie de la Sorbonne 2016.80 - ISSN : 1955-611X.
https://halshs.archives-ouvertes.fr/halshs-01412025 -
60M. Couceiro, M. Grabisch.
On integer-valued means and the symmetric maximum, 2016, working paper or preprint.
https://hal.inria.fr/hal-01404593 -
61M. Couceiro, M. Maróti, T. Waldhauser, L. Zadori.
Computing version spaces in the qualitative approach to multicriteria decision aid , 2016, working paper or preprint.
https://hal.inria.fr/hal-01404590 -
62D. Grissa, B. Comte, E. Pujos-Guillot, A. Napoli.
Combinaison de méthodes numériques et symboliques pour l'analyse de données métabolomiques, 16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, 18-22 Janvier 2016, Reims, France, Hermann-Editions, January 2016, vol. E-30, pp. 555–556, Extraction et Gestion des Connaissances, Poster.
https://hal.archives-ouvertes.fr/hal-01421035 -
63J.-F. Mari, A. Napoli.
Maîtriser la complexité des systèmes: apport de la fouille de données, November 2016, Cet exposé présente les travaux du projet Orpailleur en matière de fouille de données en agriculture numérique.
https://hal.inria.fr/hal-01414117 -
64J. Reynaud, Y. Toussaint, A. Napoli.
Analyse de concepts formels pour la classification de triplets RDF, November 2016, Gestion de Données — Principes, Technologies et Applications (BDA 2016), Poster.
https://hal.archives-ouvertes.fr/hal-01420737
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65F. Baader, D. Calvanese, D. McGuinness, D. Nardi, P. Patel-Schneider (editors)
The Description Logic Handbook, Cambridge University Press, Cambridge, UK, 2003. -
66M. Alam, A. Buzmakov, V. Codocedo, A. Napoli.
Mining Definitions from RDF Annotations Using Formal Concept Analysis, in: International Joint Conference in Artificial Intelligence, Buenos Aires, Argentina, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, July 2015.
https://hal.archives-ouvertes.fr/hal-01186204 -
67M. Alam, A. Buzmakov, A. Napoli, A. Sailanbayev.
Revisiting Pattern Structures for Structured Attribute Sets, in: Proceedings of the Twelfth International Conference on Concept Lattices and Their Applications Clermont-Ferrand, France, October 13-16, 2015., Clermont-Ferrand, France, CEUR Workshop Proceedings, August 2015, vol. 1466, pp. 241-252.
https://hal.inria.fr/hal-01186339 -
68M. Barbut, B. Monjardet.
Ordre et classification – Algèbre et combinatoire (2 tomes), Hachette, Paris, 1970. -
69O. Bruneau, S. Garlatti, M. Guedj, S. Laubé, J. Lieber.
SemanticHPST: Applying Semantic Web Principles and Technologies to the History and Philosophy of Science and Technology, in: The Semantic Web: ESWC 2015 Satellite Events, Portoroz, Slovenia, F. Gandon, A. Zimmermann, C. Faron-Zucker, J. Breslin, S. Villata, C. Guéret (editors), Lecture Notes in Computer Science, Springer International Publishing, May 2015, vol. 9341, pp. 416-427. [ DOI : 10.1007/978-3-319-25639-9_53 ]
https://hal.archives-ouvertes.fr/hal-01214698 -
70A. Buzmakov, S. O. Kuznetsov, A. Napoli.
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints, in: Machine Learning and Knowledge Discovery in Databases, Porto, Portugal, Lecture Notes in Computer Science, September 2015, vol. 9285, pp. 157-172. [ DOI : 10.1007/978-3-319-23525-7_10 ]
https://hal.archives-ouvertes.fr/hal-01186718 -
71V. Codocedo, A. Napoli.
A Proposition for Combining Pattern Structures and Relational Concept Analysis, in: Formal Concept Analysis - 12th International Conference, ICFCA 2014, Cluj-Napoca, Romania, June 10-13, 2014. Proceedings, Cluj-Napoca, Romania, June 2014, pp. 96 - 111. [ DOI : 10.1007/978-3-319-07248-7_8 ]
https://hal.inria.fr/hal-01095870 -
72V. Codocedo, A. Napoli.
Formal Concept Analysis and Information Retrieval – A Survey, in: International Conference in Formal Concept Analysis - ICFCA 2015, Nerja, Spain, J. Baixeries, C. Sacarea, M. Ojeda-Aciego (editors), Formal Concept Analysis - Lecture Notes in Computer Science, Springer, June 2015, vol. 9113, pp. 61-77. [ DOI : 10.1007/978-3-319-19545-2_4 ]
https://hal.archives-ouvertes.fr/hal-01186196 -
73A. Cordier, V. Dufour-Lussier, J. Lieber, E. Nauer, F. Badra, J. Cojan, E. Gaillard, L. Infante-Blanco, P. Molli, A. Napoli, H. Skaf-Molli.
Taaable: a Case-Based System for personalized Cooking, in: Successful Case-based Reasoning Applications-2, S. Montani, L. C. Jain (editors), Studies in Computational Intelligence, Springer, January 2014, vol. 494, pp. 121-162. [ DOI : 10.1007/978-3-642-38736-4_7 ]
https://hal.inria.fr/hal-00912767 -
74S. Da Silva.
Spatial data mining and modelling of hedgrows in agricultural landscapes, Université de Lorraine, September 2014.
https://hal.inria.fr/tel-01101424 -
75K. Dalleau, N. Coumba Ndiaye, A. Coulet.
Suggesting valid pharmacogenes by mining linked data, in: Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2015, Cambridge, United Kingdom, Proceedings of the Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2015, December 2015.
https://hal.inria.fr/hal-01239568 -
76V. Dufour-Lussier, J. Lieber.
Evaluating a textual adaptation system, in: International Conference on Case-Based Reasoning, Frankfurt, Germany, September 2015.
https://hal.inria.fr/hal-01178331 -
77W. Duivesteijn, A. Feelders, A. J. Knobbe.
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts, in: Data Mining and Knowledge Discovery, 2016, vol. 30, no 1, pp. 47–98.
http://dx.doi.org/10.1007/s10618-015-0403-4 -
78R. Feldman, J. Sanger.
The Text Mining Handbook (Advanced Approaches in Analyzing Unstructured Data), Cambridge University Press, 2007. -
79B. Ganter, S. O. Kuznetsov.
Pattern Structures and Their Projections, in: Proceedings of ICCS 2001, LNCS 2120, Springer, 2001, pp. 129–142. -
80B. Ganter, R. Wille.
Formal Concept Analysis, Springer, Berlin, 1999. -
81D. Hervé, J.-H. Ramaroson, A. Randrianarison, F. Le Ber.
Comment les paysans du corridor forestier de Fianarantsoa (Madagascar) dessinent-ils leur territoire ? Des cartes individuelles pour confronter les points de vue, in: Cybergeo : Revue européenne de géographie / European journal of geography, 2014, 681 p.
https://hal.archives-ouvertes.fr/hal-01057112 -
82O. Hudry, B. Monjardet.
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83M. Kaytoue, V. Codocedo, A. Buzmakov, J. Baixeries, S. O. Kuznetsov, A. Napoli.
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