Overview
- Unlike Dong and Pei’s version of Sequence Data Mining, current books do not provide thorough coverage on this topic — other books either focus on general data mining, on sequence analysis, or are restricted to results of the authors only
- Includes both topics: frequent/closed sequence patterns and similarity sequence patterns and motifs
Part of the book series: Advances in Database Systems (ADBS, volume 33)
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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.
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
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)
Authors and Affiliations
Bibliographic Information
Book Title: Sequence Data Mining
Authors: Guozhu Dong, Jian Pei
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-0-387-69937-0
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-69936-3Published: 09 August 2007
Softcover ISBN: 978-1-4419-4352-1Published: 23 November 2010
eBook ISBN: 978-0-387-69937-0Published: 31 October 2007
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XVI, 150
Topics: Database Management, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computational Biology/Bioinformatics, Biometrics, Computer Communication Networks