Fast Discovery of Association Rules, Advances in Knowledge Discovery and Data Mining, pp.307-328, 1996. ,
The Description Logic Handbook, 2003. ,
DOI : 10.1017/CBO9780511711787
Mining frequent patterns with counting inference, SIGKDD Exploration Newsletter, pp.66-75, 2000. ,
DOI : 10.1145/380995.381017
URL : https://hal.archives-ouvertes.fr/hal-00467750
Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies, Knowledge Engineering: Practice and Patterns ? Proceedings of the 16th International Conference EKAW, pp.156-171, 2008. ,
DOI : 10.1007/978-3-540-87696-0_16
URL : https://hal.archives-ouvertes.fr/inria-00344051
PACTOLE: A Methodology and a System for Semi-automatically Enriching an Ontology from a Collection of Texts, Proceedings of the 16th International Conference on Conceptual Structures, pp.203-216, 2008. ,
DOI : 10.1007/978-3-540-70596-3_14
URL : https://hal.archives-ouvertes.fr/inria-00315530
The million song dataset, Proceedings of the 12th International Conference on Music Information Retrieval, 2011. ,
The Process of Knowledge Discovery in Databases, Advances in Knowledge Discovery and Data Mining, pp.37-57, 1996. ,
Problems of music information retrieval in the real world, Information Processing and Management, pp.249-272, 2002. ,
DOI : 10.1016/S0306-4573(01)00033-4
Exploiting the potential of concept lattices for information retrieval with credo, Journal of Universal Computer Science, vol.10, pp.985-1013, 2004. ,
Case base mining for adaptation knowledge acquisition, pp.750-755, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00127347
Formal Concept Analysis as a support technique for CBR. Knowledge-Based Systems, pp.163-171, 2001. ,
A survey of audio-based music classification and annotation. Multimedia, IEEE Transactions on, vol.13, issue.2, pp.303-319, 2011. ,
Pattern Structures and Their Projections, Conceptual Structures: Broadening the Base, Proceedings of the 9th International Conference on Conceptual Structures LNCS 2120, pp.129-142, 2001. ,
DOI : 10.1007/3-540-44583-8_10
Formal Concept Analysis, 1999. ,
Lyric Text Mining in Music Mood Classification, 10th International Society for Music Information Retrieval Conference, pp.411-416, 2009. ,
Two Complementary Classication Methods for Designing a Concept Lattice from Interval Data, Sixth International Symposium on Foundations of Information and Knowledge Systems (FoIKS), pp.345-362, 2010. ,
Two FCA-Based Methods for Mining Gene Expression Data, Proceedings of the 7th International Conference on Formal Concept Analysis LNAI 5548, pp.251-266, 2009. ,
Semantic annotation, indexing, and retrieval, Web Semantics: Science , Services and Agents on the World Wide Web, pp.49-79, 2004. ,
Mir in enp -rule-based music information retrieval from symbolic music notation, Proceedings of the 10th International Society for Music Information Retrieval Conference Kobe International Conference Center International Society for Music Information Retrieval, pp.699-704, 2009. ,
Pattern Structures for Analyzing Complex Data, Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, pp.33-44, 2009. ,
DOI : 10.1007/978-3-642-10646-0_4
Comparing performance of algorithms for generating concept lattices, Journal of Experimental & Theoretical Artificial Intelligence, vol.21, issue.2-3, pp.189-216, 2002. ,
DOI : 10.1016/S0020-0190(99)00108-8
Learning Closed Sets of Labeled Graphs for Chemical Applications, Proceedings of 15th International Conference on Inductive Logic Programming (ILP 2005), pp.190-208, 2005. ,
DOI : 10.1007/11536314_12
Multimodal Music Mood Classification Using Audio and Lyrics, 2008 Seventh International Conference on Machine Learning and Applications, 2008. ,
DOI : 10.1109/ICMLA.2008.96
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.426
Survey of music information needs, uses, and seeking behaviours: Preliminary findings, ISMIR Proceedings, pp.441-446, 2004. ,
First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK), Concept Lattices and Their Applications (CLA 06), LNAI 4923, pp.22-41, 2008. ,
DOI : 10.1007/978-3-540-78921-5_2
URL : https://hal.archives-ouvertes.fr/hal-00608015
Semantic analysis of song lyrics, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), pp.827-830, 2004. ,
DOI : 10.1109/ICME.2004.1394328
Content-based Recommender Systems: State of the Art and Trends, Recommender Systems Handbook, pp.73-105, 2011. ,
DOI : 10.1007/978-0-387-85820-3_3
Foundations of Statistical Natural Language Processing, 1999. ,
Collaborative tag recommendations In Data Analysis, Machine Learning and Applications, Studies in Classification , Data Analysis, and Knowledge Organization, pp.533-540, 2008. ,
Querying a Bioinformatic Data Sources Registry with Concept Lattices, Proceedings of ICCS 2005, pp.323-336, 2005. ,
DOI : 10.1007/11524564_22
URL : https://hal.archives-ouvertes.fr/inria-00000102
A SMOOTH INTRODUCTION TO SYMBOLIC METHODS FOR KNOWLEDGE DISCOVERY, Handbook of Categorization in Cognitive Science, pp.913-933, 2005. ,
DOI : 10.1016/B978-008044612-7/50096-2
URL : https://hal.archives-ouvertes.fr/inria-00001210
Discovering Frequent Closed Itemsets for Association Rules, Database Theory -ICDT'99 Proceedings, 7th International Conference, pp.398-416, 1999. ,
DOI : 10.1007/3-540-49257-7_25
URL : https://hal.archives-ouvertes.fr/hal-00467747
Pruning closed itemset lattices for association rules, International Journal of Information Systems, vol.24, issue.1, pp.25-46, 1999. ,
URL : https://hal.archives-ouvertes.fr/hal-00467745
Computer music modeling and retrieval. genesis of meaning in sound and music. chapter Semantic Contours in Tracks Based on Emotional Tags, pp.45-66, 2009. ,
Lattice-based information retrieval Knowledge Organization, pp.132-142, 2000. ,
Cross-Validation, Encyclopedia of Database Systems, pp.532-538, 2009. ,
DOI : 10.1007/978-1-4899-7993-3_565-2
Advanced Information Retrieval, Electronic Notes in Theoretical Computer Science, vol.225, issue.0, pp.303-317, 2009. ,
DOI : 10.1016/j.entcs.2008.12.082
Ontology Learning from Text using Relational Concept Analysis, International Conference on eTechnologies (MCETECH 08), pp.154-163, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00322007
A proposal for combining formal concept analysis and description logics for mining relational data, Proceedings of ICFCA 2007, pp.51-65, 2007. ,
URL : https://hal.archives-ouvertes.fr/lirmm-00163364
Knowledge Engineering and Management: the CommonKADS Methodoloy, 1999. ,
Mining Sentiments from Songs Using Latent Dirichlet Allocation, Proceedings of the 10th international conference on Advances in intelligent data analysis X, IDA'11, pp.328-339, 2011. ,
DOI : 10.1017/CBO9780511809071
Model-Driven Software Development: Technology, Engineering, Management, 2006. ,
A survey of collaborative filtering techniques Advances in Artificial Intelligence, pp.2-4, 2009. ,
Constructing Iceberg Lattices from Frequent Closures Using Generators, Discovery Science, pp.136-147, 2008. ,
DOI : 10.1007/978-3-540-88411-8_15
URL : https://hal.archives-ouvertes.fr/inria-00331524
Efficient Vertical Mining of Frequent Closures and Generators, Proceedings of the 8th International Symposium on Intelligent Data Analysis (IDA-2009), pp.393-404, 2009. ,
DOI : 10.1007/978-3-540-88411-8_15
URL : https://hal.archives-ouvertes.fr/inria-00618805
Semantic Annotation and Retrieval of Music and Sound Effects, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.2, pp.467-476, 2008. ,
DOI : 10.1109/TASL.2007.913750
A survey of music information retrieval systems, Proceedings of the 6th International Conference on Music Information Retrieval, 2005. ,
The Shazam music recognition service, Communications of the ACM, vol.49, issue.8, pp.44-48, 2006. ,
DOI : 10.1145/1145287.1145312
Why can concept lattices support knowledge discovery in databases?, Journal of Experimental & Theoretical Artificial Intelligence, vol.14, issue.2-3, pp.81-92, 2002. ,
DOI : 10.1007/s002870000127
Verbs semantics and lexical selection, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, pp.133-138, 1994. ,
DOI : 10.3115/981732.981751
Efficient algorithms for mining closed itemsets and their lattice structure, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.462-478, 2005. ,
DOI : 10.1109/TKDE.2005.60