Mining sequential patterns from large data sets

Mining sequential patterns from large data sets

by Wang, Wei Yang, Jiong

Type Book
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The focus of this book is sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its inherent characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces.

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Title Statements

  • Full title :Mining sequential patterns from large data sets / by Wei Wang, Jiong Yang.

Summary

The focus of this book is sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its inherent characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces.

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Edition Statements

  • Publication Date:©2005.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:New York
  • Language:eng
  • Publication Date:©2005.

The Physical Object

  • Description:1 online resource (xi, 160 pages) : : illustrations

Edition Identifiers

  • ISBN:0387242465, 9780387242460, 0387242473, 9780387242477, 6610263299, 9786610263295
  • DOI:10.1007/b104937.
  • oclc:ocm62762521
  • LC Classification:QA76.9.D343
  • Dewey Decimal:006.3

Table of Contents

Related Work -- Periodic Patterns -- Statistically Significant Patterns -- Approximate Patterns -- Conclusion Remark.

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