Методы бикластеризации для анализа интернет-данных

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Библиография - часть 2


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Barkow, S., Bleuler, S., Prelic, A., Zimmermann, P., and E. Zitzler. BicAT: a biclustering analysis toolbox, Bioinformatics, 2006 22(10):1282-1283.

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Belohlavek R. Lattice type fuzzy order and closure operators in fuzzy ordered sets. Proc. Joint 9th IFSA World Congress and 20th NAFIPS International Conference, 2001, Vancouver, Canada, IEEE Press, pp. 2281-2286.

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Belohlavek R., Vychodil V. What is a fuzzy concept lattice? In: Proc. CLA 2005, 3rd Int. Conference on Concept Lattices and Their Applications, September 7-9, 2005, Olomouc, Czech Republic, pp. 34-45.

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Ben-Dor,A., Chor,B., Karp,R. and Yakhini,Z. Discovering local structure in gene expression data: the order-preserving sub-matrix problem. In Proceed-ings of the 6th Annual International Conference on Computational Biology, ACM Press, New York, NY, USA, pp. 49-57, 2002.

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J. Besson, C. Robardet, J-F. Boulicaut. Constraint-based mining of formal concepts in transactional data. In: Proceedings of the 8th Pacific-Asia Con-ference on Knowledge Discovery and Data Mining, 2004.

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J. Besson, C. Robardet, J-F. Boulicaut, and S. Rome. Constraint-based bi-set mining for biologically relevant pattern discovery in microarray data. Intelligent Data Analysis journal, 9(1) :59–82, 2004.

19

Besson, J., Robardet, C., Boulicaut, J.F.: Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery, In: Schärfe, H.,Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 144-157. Springer, Heidelberg (2006).

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A. Broder, On the resemblance and containment of documents, in Proc. Compression and Complexity of Sequences (SEQS: Sequences'97)

21

A. Broder, M. Charikar, A.M. Frieze, M. Mitzenmacher, Min-Wise Independent Permutations, in Proc. STOC, 1998.




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