Sequence Data Mining

  • Guozhu Dong
  • Jian Pei

Part of the Advances in Database Systems book series (ADBS, volume 33)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Guozhu Dong, Jian Pei
    Pages 1-13
  3. Guozhu Dong, Jian Pei
    Pages 15-46
  4. Guozhu Dong, Jian Pei
    Pages 89-112
  5. Guozhu Dong, Jian Pei
    Pages 113-130
  6. Guozhu Dong, Jian Pei
    Pages 131-137
  7. Back Matter
    Pages 139-150

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.



bioengineering bioinformatics data analysis data mining genome genomics pattern mining pattern types sequence patterns web services

Authors and affiliations

  • Guozhu Dong
    • 1
  • Jian Pei
    • 2
  1. 1.Wright State UniversityDaytonUSA
  2. 2.School of Computing ScienceSimon Fraser UniversityBurnabyCanada V5A 1S6

Bibliographic information

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