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Data Mining for Association Rules and Sequential PatternsJean-Marc Adamo

Data Mining for Association Rules and Sequential Patterns

2000254 pages
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2 editions
Nonfiction

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The book provides a unified presentation of algorithms for association rule and sequential pattern discovery. For both mining problems, the presentation relies on the lattice structure of the search space. All algorithms are built as processes running on this structure. Proving their properties takes advantage of the mathematical properties of the structure. Mining for association rules and sequential patterns is known to be a problem with large computational complexity. The issue of designing efficient parallel algorithms should be considered as critical. Most algorithms in the book are…

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Editions

2 editions
  • Ebook · English · 2001
    Springer New York · 254 pages · 9781461265115
  • Other · English · 2000
    Springer · 254 pages · 9780387950488
Computer softwareComputer scienceArtificial intelligenceDatabase managementComputer algorithmsData mining