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Bibliography

Major publications by the team in recent years
  • 1G. Bosc, J.-F. Boulicaut, C. Raïssi, M. Kaytoue.

    Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search, in: Data Mining and Knowledge Discovery, 2017. [ DOI : 10.1007/s10618-017-0547-5 ]

    https://hal.archives-ouvertes.fr/hal-01662857
  • 2O. Bruneau, E. Gaillard, N. Lasolle, J. Lieber, E. Nauer, J. Reynaud.

    A SPARQL Query Transformation Rule Language - Application to Retrieval and Adaptation in Case-Based Reasoning, in: ICCBR 2017 - Case-Based Reasoning Research and Development, 25th International Conference on Case-Based Reasoning, Trondheim, Norway, June 2017.

    https://hal.inria.fr/hal-01661651
  • 3A. Buzmakov, S. O. Kuznetsov, A. Napoli.

    Efficient Mining of Subsample-Stable Graph Patterns, in: ICDM 2017 - 17th IEEE International Conference on Data Mining, New Orleans, United States, November 2017, pp. 1-6.

    https://hal.inria.fr/hal-01668663
  • 4M. Couceiro, N. Hug, H. Prade, G. Richard.

    Analogy-preserving Functions: A Way to Extend Boolean Samples, in: Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 2017.

    https://hal.inria.fr/hal-01668230
  • 5K. Dalleau, Y. Marzougui, S. Da Silva, P. Ringot, N. C. Ndiaye, A. Coulet.

    Learning from biomedical linked data to suggest valid pharmacogenes, in: Journal of Biomedical Semantics, 2017, vol. 75. [ DOI : 10.1007/s10994-008-5089-z ]

    https://hal.inria.fr/hal-01511773
  • 6E. Gaillard, J. Lieber, E. Nauer.

    TAAABLE: a case-based reasoning system which adapts cooking recipes, in: Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, April 2017, vol. 31, no 1-2, pp. 207 - 235. [ DOI : 10.3166/ria.31.207-235 ]

    https://hal.inria.fr/hal-01657387
  • 7E. Galbrun, B. Golshan, A. Gionis, E. Terzi.

    Finding low-tension communities, in: Proceedings of the 17th SIAM International Conference on Data Mining, SDM'17, Houston, TX, United States, April 2017, https://arxiv.org/abs/1701.05352.

    https://hal.archives-ouvertes.fr/hal-01446461
  • 8J.-F. Mari, A. Gobillot, M. Benoît.

    Time Space Simulation of Land Use changes by stochastic modeling, in: Revue Internationale de Géomatique, 2017, forthcoming.

    https://hal.inria.fr/hal-01662140
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 9M. Hassan.

    Knowledge Discovery Considering Domain Litterature and Ontologies : Application to rare Diseases, Université de Lorraine, July 2017.

    https://hal.inria.fr/tel-01678860

Articles in International Peer-Reviewed Journals

  • 10M. Alam, A. Buzmakov, A. Napoli.

    Exploratory Knowledge Discovery over Web of Data, in: Discrete Applied Mathematics, 2017, pp. 1-25, forthcoming.

    https://hal.inria.fr/hal-01673439
  • 11J. 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, 2017, vol. 28, no 1, pp. 5-28.

    https://hal.archives-ouvertes.fr/hal-01090645
  • 12J. Baixeries, V. Codocedo, M. Kaytoue, A. Napoli.

    Characterizing Approximate-Matching Dependencies in Formal Concept Analysis with Pattern Structures, in: Discrete Applied Mathematics, 2017, pp. 1-26, forthcoming.

    https://hal.inria.fr/hal-01673441
  • 13G. Bosc, J.-F. Boulicaut, C. Raïssi, M. Kaytoue.

    Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search, in: Data Mining and Knowledge Discovery, 2017. [ DOI : 10.1007/s10618-017-0547-5 ]

    https://hal.archives-ouvertes.fr/hal-01662857
  • 14G. Bosc, P. Tan, J.-F. Boulicaut, C. Raïssi, M. Kaytoue.

    A Pattern Mining Approach to Study Strategy Balance in RTS Games, in: IEEE Transactions on Computational Intelligence and AI in games, June 2017, vol. 9, no 2, pp. 123-132. [ DOI : 10.1109/TCIAIG.2015.2511819 ]

    https://hal.archives-ouvertes.fr/hal-01252728
  • 15Q. Brabant, M. Couceiro.

    k-maxitive Sugeno integrals as aggregation models for ordinal preferences, in: Fuzzy Sets and Systems, June 2017. [ DOI : 10.1016/j.fss.2017.06.005 ]

    https://hal.archives-ouvertes.fr/hal-01657107
  • 16C. Chamard-Jovenin, C. Thiebaut, A. Chesnel, E. Bresso, C. Morel, M. Smaïl-Tabbone, M.-D. Devignes, T. Boukhobza, H. Dumond.

    Low-dose alkylphenol exposure promotes mammary epithelium alterations and transgenerational developmental defects, but does not enhance tumorigenic behaviour of breast cancer cells, in: Frontiers in Endocrinology, October 2017, vol. 8, 272 p. [ DOI : 10.3389/fendo.2017.00272 ]

    https://hal.archives-ouvertes.fr/hal-01609240
  • 17M. Couceiro, J. Devillet, J.-L. Marichal.

    Characterizations of idempotent discrete uninorms, in: Fuzzy Sets and Systems, 2017, https://arxiv.org/abs/1701.07253v1.

    https://hal.inria.fr/hal-01447513
  • 18M. Couceiro, S. Foldes, G. C. Meletiou.

    On homorphisms between products of median algebras, in: Algebra Universalis, 2017, 8 p.

    https://hal.inria.fr/hal-01500223
  • 19M. Couceiro, M. Grabisch.

    On integer-valued means and the symmetric maximum, in: Aequationes Mathematicae, April 2017, vol. 91, no 2, pp. 353–371. [ DOI : 10.1007/s00010-016-0460-9 ]

    https://hal.inria.fr/hal-01404593
  • 20M. 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, 2017, vol. 28, no 1, pp. 47-58.

    https://hal.inria.fr/hal-01183004
  • 21M. 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, 2017. [ DOI : 10.1007/s00012-016-0418-8 ]

    https://hal.archives-ouvertes.fr/hal-01184404
  • 22M. Couceiro, E. Lehtonen.

    Majors of functions, in: Order, 2017, 14 p.

    https://hal.inria.fr/hal-01519377
  • 23M. Couceiro, G. C. Meletiou.

    On a special class of median algebras, in: Miskolc Mathematical Notes, 2017, vol. 18, no 1, pp. 167–171.

    https://hal.inria.fr/hal-01248142
  • 24M. Couceiro, B. Teheux.

    Pivotal decomposition schemes inducing clones of operations, in: Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry, 2017, 16 p, forthcoming.

    https://hal.inria.fr/hal-01450835
  • 25P. Couvineau, H. de Almeida, B. Maigret, C. Llorens-Cortes, X. Iturrioz.

    Involvement of arginine 878 together with Ca2+ in aminopeptidase A substrate specificity for N-terminal acidic amino-acid residues, in: PLoS ONE, September 2017.

    https://hal.inria.fr/hal-01580832
  • 26K. Dalleau, Y. Marzougui, S. Da Silva, P. Ringot, N. C. Ndiaye, A. Coulet.

    Learning from biomedical linked data to suggest valid pharmacogenes, in: Journal of Biomedical Semantics, 2017, vol. 75. [ DOI : 10.1007/s10994-008-5089-z ]

    https://hal.inria.fr/hal-01511773
  • 27E. Gaillard, J. Lieber, E. Nauer.

    TAAABLE: a case-based reasoning system which adapts cooking recipes, in: Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, April 2017, vol. 31, no 1-2, pp. 207 - 235. [ DOI : 10.3166/ria.31.207-235 ]

    https://hal.inria.fr/hal-01657387
  • 28J.-F. Mari, A. Gobillot, M. Benoît.

    Time Space Simulation of Land Use changes by stochastic modeling, in: Revue Internationale de Géomatique, 2017, forthcoming.

    https://hal.inria.fr/hal-01662140
  • 29G. Personeni, E. Bresso, M.-D. Devignes, M. Dumontier, M. Smaïl-Tabbone, A. Coulet.

    Discovering associations between adverse drug events using pattern structures and ontologies, in: Journal of Biomedical Semantics, 2017, vol. 93, pp. 539 - 546. [ DOI : 10.1038/clpt.2013.24 ]

    https://hal.inria.fr/hal-01576341
  • 30W. Ugarte Rojas, P. Boizumault, B. Crémilleux, A. Lepailleur, S. Loudni, M. Plantevit, C. Raïssi, A. Soulet.

    Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems, in: Artificial Intelligence, March 2017, vol. 244, pp. 48–69. [ DOI : 10.1016/j.artint.2015.04.003 ]

    https://hal.inria.fr/hal-01188928

International Conferences with Proceedings

  • 31Y. Abid, A. Imine, A. Napoli, C. Raïssi, M. Rusinowitch.

    Two-phase preference disclosure in attributed social networks, in: DEXA 2017 - 28th International Conference on Database and Expert Systems Applications, Lyon, France, LNCS, Springer, August 2017, vol. 10438, pp. 249-263. [ DOI : 10.1007/978-3-319-64468-4_19 ]

    https://hal.inria.fr/hal-01649246
  • 32Q. Brabant, M. Couceiro, A. Napoli, J. Reynaud.

    From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures, in: International Symposium on Methodologies for Intelligent Systems, Warsaw, Poland, Foundations of Intelligent Systems: 23rd International Symposium, June 2017, pp. 622-631.

    https://hal.archives-ouvertes.fr/hal-01544123
  • 33O. Bruneau, E. Gaillard, N. Lasolle, J. Lieber, E. Nauer, J. Reynaud.

    A SPARQL Query Transformation Rule Language — Application to Retrieval and Adaptation in Case-Based Reasoning, in: ICCBR 2017 - Case-Based Reasoning Research and Development, 25th International Conference on Case-Based Reasoning, Trondheim, Norway, June 2017.

    https://hal.inria.fr/hal-01661651
  • 34A. Buzmakov, S. O. Kuznetsov, A. Napoli.

    Efficient Mining of Subsample-Stable Graph Patterns, in: ICDM 2017 - 17th IEEE International Conference on Data Mining, New Orleans, United States, November 2017, pp. 1-6.

    https://hal.inria.fr/hal-01668663
  • 35M. B. Chawki, E. Nauer, N. Jay, J. Lieber.

    Tetra: A Case-Based Decision Support System for Assisting Nuclear Physicians with Image Interpretation, in: ICCBR 2017 - International Conference on Case-Based Reasoning, Trondheim, Norway, Lecture Notes in Computer Science, Springer, June 2017, vol. 10339, pp. 108-122.

    https://hal.inria.fr/hal-01657414
  • 36V. Codocedo, G. Bosc, M. Kaytoue, J.-F. Boulicaut, A. Napoli.

    A Proposition for Sequence Mining Using Pattern Structures, in: ICFCA 2017 - 14th International Conference on Formal Concept Analysis, Rennes, France, K. Bertet, D. Borchmann, P. Cellier, S. Ferré (editors), Lecture Notes in Computer Science, Springer, June 2017, vol. 10308, pp. 106-121. [ DOI : 10.1007/978-3-319-59271-8_7 ]

    https://hal.archives-ouvertes.fr/hal-01549107
  • 37M. Couceiro, J. Devillet, J.-L. Marichal.

    On Idempotent Discrete Uninorms, in: International Summer School on Aggregation Operators, Skövde, Sweden, Aggregation Functions in Theory and in Practice (Springer), June 2017, vol. 308, pp. 147 - 153. [ DOI : 10.1007/978-3-319-59306-7_15 ]

    https://hal.inria.fr/hal-01551089
  • 38M. Couceiro, D. Dubois, H. Prade, A. Rico.

    Enhancing the expressive power of Sugeno integrals for qualitative data analysis, in: EUSFLAT 2017 - 10th Conference of the European Society for Fuzzy Logic and Technology, Warsaw, Poland, IWIFSGN 2017, EUSFLAT 2017: Advances in Fuzzy Logic and Technology 2017, Springer, Cham, September 2017, vol. 641, pp. 534-547. [ DOI : 10.1007/978-3-319-66830-7_48 ]

    https://hal.inria.fr/hal-01668229
  • 39M. Couceiro, L. Haddad, V. Lagerkvist, B. Roy.

    On the Interval of Boolean Strong Partial Clones Containing Only Projections as Total Operations, in: 47th IEEE International Symposium on Multiple-Valued Logic (ISMVL), Novi Sad, Serbia, IEEE Computer Society, May 2017.

    https://hal.inria.fr/hal-01504012
  • 40M. Couceiro, L. Haddad, K. Schölzel.

    On the nonexistence of minimal strong partial clones, in: ISMVL 2017 - 47th IEEE International Symposium on Multiple-Valued Logic, Novi Sad, Serbia, IEEE Computer Society, May 2017, 6 p.

    https://hal.inria.fr/hal-01504011
  • 41M. Couceiro, N. Hug, H. Prade, G. Richard.

    Analogy-preserving Functions: A Way to Extend Boolean Samples, in: IJCAI 2017 - 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 2017, pp. 1-7.

    https://hal.inria.fr/hal-01668230
  • 42M. Couceiro, P. Mercuriali, R. Péchoux, A. Saffidine.

    Median based calculus for lattice polynomials and monotone Boolean functions, in: ISMVL 2017 - 47th IEEE International Symposium on Multiple-Valued Logic, Novi Sad, Serbia, IEEE Computer Society, May 2017, 6 p.

    https://hal.inria.fr/hal-01504010
  • 43E. Gaillard, J. Lieber, E. Nauer.

    Adaptation of TAAABLE to the CCC'2017 Mixology and Salad Challenges, Adaptation of the Cocktail Names, in: International Conference on Case-Based Reasoning (ICCBR) Computer Cooking Contest Workshop, Trondheim, Norway, June 2017, pp. 253-268.

    https://hal.inria.fr/hal-01667183
  • 44E. Galbrun, B. Golshan, A. Gionis, E. Terzi.

    Finding low-tension communities, in: Proceedings of the 17th SIAM International Conference on Data Mining, SDM'17, Houston, TX, United States, April 2017, https://arxiv.org/abs/1701.05352.

    https://hal.archives-ouvertes.fr/hal-01446461
  • 45P. Monnin, C. Jonquet, J. Legrand, A. Napoli, A. Coulet.

    PGxO: A very lite ontology to reconcile pharmacogenomic knowledge units, in: Methods, tools & platforms for Personalized Medicine in the Big Data Era, Palermo, Italy, NETTAB 2017 Workshop Collection, October 2017. [ DOI : 10.7287/peerj.preprints.3140v1 ]

    https://hal.inria.fr/hal-01593184
  • 46P. Monnin, M. Lezoche, A. Napoli, A. Coulet.

    Using formal concept analysis for checking the structure of an ontology in LOD: the example of DBpedia, in: 23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017, Warsaw, Poland, June 2017.

    https://hal.inria.fr/hal-01511909
  • 47J. Reynaud, M. Alam, Y. Toussaint, A. Napoli.

    A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures, in: International Symposium on Methodologies for Intelligent Systems, Warsaw, Poland, June 2017.

    https://hal.inria.fr/hal-01667437
  • 48M. Schnell, S. Couffignal, J. Lieber, S. Saleh, N. Jay.

    Case-Based Interpretation of Best Medical Coding Practices — Application to Data Collection for Cancer Registries, in: ICCBR 2017 - 25th International Conference on Case-Based Reasoning, Trondheim, Norway, ICCBR 2017: Case-Based Reasoning Research and Development, Springer, June 2017, vol. 10339, pp. 345-359. [ DOI : 10.1007/978-3-319-61030-6_24 ]

    https://hal.inria.fr/hal-01661107

National Conferences with Proceedings

  • 49G. Bosc, J.-F. Boulicaut, C. Raïssi, M. Kaytoue.

    Découverte de sous-groupes avec les arbres de recherche de Monte Carlo, in: Extraction et Gestion de Connaissances EGC 2017, Grenoble, France, January 2017.

    https://hal.archives-ouvertes.fr/hal-01433054
  • 50M. Couceiro, J. Devillet, J.-L. Marichal.

    On idempotent discrete uninorms, in: LFA 2017 – 26èmes Rencontres Francophones sur la Logique Floue et ses Applications, Oct 2017,, Amiens, France, October 2017.

    https://hal.inria.fr/hal-01671011
  • 51M. Couceiro, D. Dubois, H. Prade, A. Rico.

    Generalized Sugeno integrals in qualitative data analysis, in: LFA 2017 - 26èmes Rencontres Francophones sur la Logique Floue et ses Applications, Amiens, France, October 2017.

    https://hal.inria.fr/hal-01668232
  • 52M. Couceiro, P. Mercuriali, R. Péchoux.

    On the efficiency of normal form systems of Boolean functions, in: LFA 2017 - 26èmes Rencontres Francophones sur la Logique Floue et ses Applications, Amiens, France, October 2017, pp. 1-8.

    https://hal.inria.fr/hal-01656033
  • 53Y. PER, K. Dalleau, M. Smaïl-Tabbone.

    Multi-class classification for Prediction of tree diseases, in: EGC 2017 - Extraction et Gestion des Connaissances, Grenoble, France, Revue des Nouvelles Technologies de l'Information, January 2017, vol. RNTI-E-33, pp. 237-248.

    https://hal.inria.fr/hal-01611504

Conferences without Proceedings

  • 54M. Couceiro, N. Hug, H. Prade, G. Richard.

    Analogy-preserving fonctions: A way to extend Boolean samples, in: 11e Journées d'Intelligence Artificielle Fondamentale, Caen, France, July 2017.

    https://hal.archives-ouvertes.fr/hal-01577828
  • 55J. Legrand, Y. Toussaint, C. Raïssi, A. Coulet.

    Tree-LSTM and Cross-Corpus Training for Extracting Biomedical Relationships from Text, in: DLPM2017 Workshop - 2nd International Workshop on Deep Learning for Precision Medicine, Skopje, Macedonia, September 2017, Held in conjunction with ECML-PKDD 2017.

    https://hal.inria.fr/hal-01592802

Scientific Books (or Scientific Book chapters)

  • 56A. Napoli, A. Termier.

    La fouille de données, in: Les Big Data à découvert, M. Bouzeghoub, R. Mosseri (editors), CNRS Editions, 2017, pp. 1-3.

    https://hal.inria.fr/hal-01673437

Books or Proceedings Editing

  • 57D. W. Aha, J. Lieber (editors)

    Case-Based Reasoning Research and Development, 25th International Conference on Case-Based Reasoning (ICCBR 2017), June 2017.

    https://hal.inria.fr/hal-01661874

Other Publications

References in notes
  • 67C. C. Aggarwal, C. Zhai (editors)

    Mining Text Data, Springer, 2012.
  • 68F. Baader, D. Calvanese, D. McGuinness, D. Nardi, P. Patel-Schneider (editors)

    The Description Logic Handbook, Cambridge University Press, Cambridge, UK, 2003.
  • 69M. 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
  • 70M. 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
  • 71M. Barbut, B. Monjardet.

    Ordre et classification – Algèbre et combinatoire (2 tomes), Hachette, Paris, 1970.
  • 72A. 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
  • 73S. 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
  • 74K. 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
  • 75Z. Dvořák, J.-S. Sereni.

    Do triangle-free planar graphs have an exponential number of 3-colorings?, in: Electronic Journal of Combinatorics, 2017, vol. 24, no 3, #P3.47 p.

    https://hal.archives-ouvertes.fr/hal-01433349v2
  • 76E. 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
  • 77B. Ganter, S. O. Kuznetsov.

    Pattern Structures and Their Projections, in: Proceedings of ICCS 2001, LNCS 2120, Springer, 2001, pp. 129–142.
  • 78B. Ganter, R. Wille.

    Formal Concept Analysis, Springer, Berlin, 1999.
  • 79M. Grabisch, J.-L. Marichal, R. Mesiar, E. Pap.

    Aggregation Functions, Encyclopedia of Mathematics and its Applications, Cambridge University Press, 2009.
  • 80D. 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
  • 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.

    Consensus Theories. An oriented survey, in: Mathématiques et Sciences Humaines, 2010, vol. 190, no 2, pp. 139–167.
  • 83J. 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
  • 84M. 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
  • 85J.-F. Mari, F. Le Ber, E.-G. Lazrak, M. Benoît, C. Eng, A. Thibessard, P. Leblond.

    Using Markov Models to Mine Temporal and Spatial Data, in: New Fundamental Technologies in Data Mining, K. Funatsu, K. Hasegawa (editors), Intech, 2011, pp. 561–584.

    http://hal.inria.fr/inria-00566801/en
  • 86J.-P. Metivier, A. Lepailleur, A. Buzmakov, G. Poezevara, B. Crémilleux, S. O. Kuznetsov, J. Le Goff, A. Napoli, R. Bureau, B. Cuissart.

    Discovering structural alerts for mutagenicity using stable emerging molecular patterns, in: Journal of Chemical Information and Modeling, 2015, vol. 55, no 5, pp. 925–940. [ DOI : 10.1021/ci500611v ]

    https://hal.archives-ouvertes.fr/hal-01186716
  • 87G. Personeni, S. Daget, C. Bonnet, P. Jonveaux, M.-D. Devignes, M. Smaïl-Tabbone, A. Coulet.

    Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability, in: Data Integration in the Life Sciences - 10th International Conference, DILS 2014, Lisbon, Portugal, H. Galhardas, E. Rahm (editors), Lecture Notes in Computer Science, Springer, July 2014, vol. 8574, pp. 16 - 31. [ DOI : 10.1007/978-3-319-08590-6_2 ]

    https://hal.inria.fr/hal-01095591
  • 88F. Pirot, R. J. Kang.

    Distance-coloring without one cycle length, in: SIAM Journal on Discrete Mathematics, 2017, Submitted for publication.

    https://hal.archives-ouvertes.fr/hal-01668633
  • 89N. Ramakrishnan, D. Kumar, B. Mishra, M. Potts, R. F. Helm.

    Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions, in: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, KDD '04, ACM, 2004, pp. 266–275.
  • 90M. Rouane-Hacene, M. Huchard, A. Napoli, P. Valtchev.

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