Clustering bipartite graphs in terms of approximate formal concepts and sub-contexts
暂无分享,去创建一个
[1] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[2] Sune Lehmann,et al. Link communities reveal multiscale complexity in networks , 2009, Nature.
[3] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[4] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[5] Didier Dubois,et al. Possibility Theory and Formal Concept Analysis in Information Systems , 2009, IFSA/EUSFLAT Conf..
[6] Das Amrita,et al. Mining Association Rules between Sets of Items in Large Databases , 2013 .
[7] Stephen Chadwick,et al. The Deep South , 2012 .
[8] Philip S. Yu,et al. AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery , 2006, Sixth International Conference on Data Mining (ICDM'06).
[9] Emmanuel Navarro,et al. Kodex ou comment organiser les résultats d'une recherche d'information par détection de communautés sur un graphe biparti? , 2011, CORIA.
[10] Béla Bollobás,et al. Modern Graph Theory , 2002, Graduate Texts in Mathematics.
[11] Jean-François Boulicaut,et al. Agglomerating local patterns hierarchically with ALPHA , 2009, CIKM.
[12] S. Lehmann,et al. Biclique communities. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[13] T. S. Evans,et al. Clique graphs and overlapping communities , 2010, ArXiv.
[14] Didier Dubois,et al. Possibility theory and formal concept analysis: Characterizing independent sub-contexts , 2012, Fuzzy Sets Syst..
[15] Mark E. J. Newman,et al. The Structure and Function of Complex Networks , 2003, SIAM Rev..
[16] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[17] Didier Dubois,et al. Bridging gaps between several frameworks for the idea of granulation , 2011, 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI).
[18] R. Belohlávek. Fuzzy Relational Systems: Foundations and Principles , 2002 .
[19] Matthieu Latapy,et al. Computing Communities in Large Networks Using Random Walks , 2004, J. Graph Algorithms Appl..
[20] Henri Prade,et al. A Parallel between Extended Formal Concept Analysis and Bipartite Graphs Analysis , 2010, IPMU.
[21] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[22] Gerd Stumme,et al. Formal Concept Analysis: foundations and applications , 2005 .
[23] Amedeo Napoli,et al. Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices , 2008, ICFCA.
[24] Martin Rosvall,et al. Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.
[25] Paul Bourgine,et al. Epistemic Communities: Description and Hierarchic Categorization , 2004, ArXiv.
[26] M. Barber. Modularity and community detection in bipartite networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[27] Chew Lim Tan,et al. Preserving Patterns in Bipartite Graph Partitioning , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).
[28] Roger Guimerà,et al. Module identification in bipartite and directed networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] Inderjit S. Dhillon,et al. Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.
[30] Mason A. Porter,et al. Communities in Networks , 2009, ArXiv.
[31] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[32] Bernhard Ganter,et al. Formal Concept Analysis, 6th International Conference, ICFCA 2008, Montreal, Canada, February 25-28, 2008, Proceedings , 2008, International Conference on Formal Concept Analysis.
[33] Cheng Yang,et al. Efficient discovery of error-tolerant frequent itemsets in high dimensions , 2001, KDD '01.
[34] F. Klawonn. Fuzzy points, fuzzy relations and fuzzy functions , 2000 .
[35] Makoto Haraguchi,et al. Finding Top-N Pseudo Formal Concepts with Core Intents , 2009, MLDM.
[36] B. Gaume,et al. Balades aléatoires dans les Petits Mondes Lexicaux , 2004 .
[37] Charu C. Aggarwal,et al. Graph Clustering , 2010, Encyclopedia of Machine Learning and Data Mining.
[38] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[39] Vipin Kumar,et al. Quantitative evaluation of approximate frequent pattern mining algorithms , 2008, KDD.
[40] R. Lambiotte,et al. Line graphs, link partitions, and overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] S.,et al. An Efficient Heuristic Procedure for Partitioning Graphs , 2022 .
[42] Tsuyoshi Murata,et al. Modularity for Bipartite Networks , 2010, Data Mining for Social Network Data.
[43] Nicolas Pasquier,et al. Efficient Mining of Association Rules Using Closed Itemset Lattices , 1999, Inf. Syst..
[44] Jean-Charles Delvenne,et al. Stability of graph communities across time scales , 2008, Proceedings of the National Academy of Sciences.
[45] Didier Dubois,et al. Graduality, Uncertainty and Typicality in Formal Concept Analysis , 2010, 35 Years of Fuzzy Set Theory.
[46] Didier Dubois,et al. Possibility Theory and Formal Concept Analysis: Context Decomposition and Uncertainty Handling , 2010, IPMU.
[47] Matthieu Latapy,et al. Basic notions for the analysis of large two-mode networks , 2008, Soc. Networks.
[48] Camille Roth,et al. Reducing the Representation Complexity of Lattice-Based Taxonomies , 2007, ICCS.
[49] Bernhard Ganter,et al. Formal Concept Analysis , 2013 .
[50] Satu Elisa Schaeffer,et al. Graph Clustering , 2017, Encyclopedia of Machine Learning and Data Mining.
[51] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[52] Didier Dubois,et al. A Possibility-Theoretic View of Formal Concept Analysis , 2007, Fundam. Informaticae.
[53] Radim Bělohlávek,et al. Fuzzy Relational Systems: Foundations and Principles , 2002 .
[54] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[55] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[56] Camille Roth,et al. Approaches to the Selection of Relevant Concepts in the Case of Noisy Data , 2010, ICFCA.