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Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms

Author: Jean-Marc Adamo
Publisher: New York, NY : Springer New York, 2001.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jean-Marc Adamo
ISBN: 9781461300854 1461300851 0387950486 9780387950488
OCLC Number: 852790268
Description: 1 online resource (x, 254 pages 54 illustrations)
Contents: Introduction --
Search Space Partition-Based Rule Mining --
Apriori and Other Algorithms --
Mining for Rules Over Attribute Taxonomies --
Constraint-Based Rule Mining --
Data Partition-Based Rule Mining --
Mining Rules with Categorical and Metric Attributes --
Optimizing Rules with Quantitative Attributes --
Beyond Support-Confidence Framework --
Sequential Patterns: Search Space Partition-Based Mining --
Appendix --
References --
Index.
Responsibility: by Jean-Marc Adamo.

Abstract:

Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts  Read more...

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