[PDF.18my] Advances in Distributed and Parallel Knowledge Discovery

Advances in Distributed and Parallel Knowledge Discovery

[PDF.mt30] Advances in Distributed and Parallel Knowledge Discovery

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 | #7307876 in Books |  2000-09-11 | Original language:English | PDF # 1 |  9.00 x1.40 x6.00l,1.61 | File type: PDF | 400 pages

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||About the Author||Hillol Kargupta is Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County.

foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has introduced an important new dimension to this problem--distributed sources of data. Traditional centralized KDD typically requires central aggregation of distributed data, which may not always be feasible because of limi...

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