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Advances in Database Systems

Sequence Data Mining

Authors: Dong, Guozhu, Pei, Jian

  • Current books do not provide the thorough coverage on this topic as this one does: they either focus on general data mining, on sequence analysis, or are restricted to results of the authors only
  • Details both frequent/closed sequence patterns and the similarity sequence patterns and motifs
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eBook $129.00
price for USA
  • ISBN 978-0-387-69937-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $169.00
price for USA
  • ISBN 978-0-387-69936-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4419-4352-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more.

Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place.

Sequence Data Mining is designed for professionals working in bioinformatics, genomics, web services, and financial data analysis. This book is also suitable for advanced-level students in computer science and bioengineering.

Forward by Professor Jiawei Han, University of Illinois at Urbana-Champaign.

 

Reviews

From the reviews:

"In this short book, Dong and Pei provide a good introductory to the topic, organized into seven chapters. … This book should appeals to researchers and graduate students working in the field (or with an interest in DM) who want to extend their knowledge of sequence DM." (John Fulcher, Computing Reviews, January, 2008)


Table of contents (7 chapters)

  • Introduction

    Dong, Guozhu (et al.)

    Pages 1-13

  • Frequent and Closed Sequence Patterns

    Dong, Guozhu (et al.)

    Pages 15-46

  • Classification, Clustering, Features and Distances of Sequence Data

    Dong, Guozhu (et al.)

    Pages 47-65

  • Sequence Motifs: Identifying and Characterizing Sequence Families

    Dong, Guozhu (et al.)

    Pages 67-87

  • Mining Partial Orders from Sequences

    Dong, Guozhu (et al.)

    Pages 89-112

Buy this book

eBook $129.00
price for USA
  • ISBN 978-0-387-69937-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $169.00
price for USA
  • ISBN 978-0-387-69936-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.00
price for USA
  • ISBN 978-1-4419-4352-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Sequence Data Mining
Authors
Series Title
Advances in Database Systems
Series Volume
33
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-69937-0
DOI
10.1007/978-0-387-69937-0
Hardcover ISBN
978-0-387-69936-3
Softcover ISBN
978-1-4419-4352-1
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XVI, 150
Topics