Sequence Data Mining: 33 (Advances in Database Systems, 33) - Hardcover

Dong, Guozhu; Pei, Jian

Hardcover

ISBN 10: 0387699368 ISBN 13: 9780387699363

Publisher: Springer, 2007

Synopsis

This book 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 volume fills in the gap, allowing readers to access the 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.

About this title

From the Back Cover

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.

 

Edition details

• Publisher: Springer
• Publication date: 2007
• ISBN 10: 0387699368
• ISBN 13: 9780387699363
• Binding: Hardcover
• Language: English
• Number of pages: 166