Методы бикластеризации для анализа интернет-данных


Библиография - часть 4


35

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36

J. Han and M. Kamber, Data Mining: Concepts and Techniques. Morgan Kaufmann, 2001.

37

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38

Ahmad M. Hasnah. A New Filtering Algorithm for Duplicate Document Based on Concept Analysis.Journal of Computer Science, Vol. 2 Issue 5, pp. 434-440, 2006.

39

P. Becker, J. H. Correia. “The ToscanaJ Suite for Implementing Conceptual Information Systems”. In: Formal Concept Analysis. Ed. by Bernhard Ganter, Gerd Stumme, and Rudolf Wille. Vol. 3626. Lecture Notes in Computer Science. Berlin, Heidelberg, and New York: Springer–Verlag, pp. 324–348,2005.

40

T. H. Haveliwala, A. Gionis, D. Klein, and P. Indyk , Evaluating Strategies for Similarity Search on the Web, in Proc. WWW'2002, Honolulu, 2002.

41

Bruce Hendrickson and Robert Leland. The Chaco User's Guide: Version 2.0, Sandia Tech Report SAND94-2692, 1994.

42

Thomas Hofmann and Jaz Puzicha. Latent class models for collaborative filtering. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 668–693, 1999.

43

Ihmels,J. et al. Defining transcription modules using large-scale gene expression, data. Bioinformatics, 20, 1993-2003, 2004.

44

S. Ilyinsky, M.Kuzmin, A. Melkov, I. Segalovich, An efficient method to detect duplicates of Web documents with the use of inverted index, in Proc. 11th Int. World Wide Web Conference (WWW'2002).

45

Yuval Klugar, Ronen Basri, Joseph T. Chang, and Mark Gerstein. Spectral biclustering of microarray data: coclustering genes and conditions. In Genome Research, volume 13, pages 703–716, 2003.

46

A. Kolcz, A. Chowdhury, J. Alspector, Improved Robustness of Signature-Based Near-Replica Detection via Lexicon Randomization, in Proc. KDD'04, Seattle, 2004.

47

S.O. Kuznetsov and S.A. Obiedkov, Comparing Performance of Algorithms for Generating Concept Lattices, Journal of Experimental and Theoretical Artificial Intelligence, vol. 14 (2002), pp. 189-216.




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