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Publications about 'Pattern Mining'
Thesis
  1. Peggy Cellier. Towards Usable Pattern Mining. PhD thesis, Habilitation à diriger des recherche de l'université de Rennes 1, 30 octobre 2020. [bibtex-entry]


Articles in journal or book chapters
  1. Carlos Bobed, Pierre Maillot, Peggy Cellier, and Sébastien Ferré. Data-driven Assessment of Structural Evolution of RDF Graphs. Semantic Web: Interoperability, Usability, Applicability, 11:831-853, 2020. [WWW] Keyword(s): semantic web, data mining, data quality, data evolution, data-driven approach, MDL principle. [Abstract] [bibtex-entry]


  2. Peggy Cellier, Thierry Charnois, Marc Plantevit, Christophe Rigotti, Bruno Crémilleux, Olivier Gandrillon, Jirì Kléma, and Jean-Luc Manguin. Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. J. Biomedical Semantics, 6:27, 2015. [bibtex-entry]


Conference articles
  1. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL Visualizer: Interactive Visualization of Graph Patterns. In Graph Embedding and Mining (GEM), an ECML-PKDD workshop, 2020. [WWW] Keyword(s): graph mining, graph pattern, MDL principle, visualization. [Abstract] [bibtex-entry]


  2. Francesco Bariatti, Peggy Cellier, and Sébastien Ferré. GraphMDL: Graph Pattern Selection based on Minimum Description Length. In Symposium on Intelligent Data Analysis (IDA), 2020. [WWW] [PDF] Keyword(s): Minimum Description Length, Graph Mining, Pattern Mining. [Abstract] [bibtex-entry]


  3. Nicolas Béchet, Peggy Cellier, Thierry Charnois, and Bruno Crémilleux. Sequential Pattern Mining to Discover Relations between Genes and Rare Diseases. In IEEE Int. Symp. on Computer-Based Medical Systems (CBMS), pages 1-6, 2012. Keyword(s): data mining, sequential patterns, relationships, bioinformatics, rare disease, natural language processing. [bibtex-entry]



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Last modified: Thu Apr 8 17:20:28 2021
Author: ferre.


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