ENGLISH

Sequence Data Mining

By Guozhu Dong PhD , Jian Pei PhD (auth.)

Book information

Publisher
Springer US
Year
2007
ISBN
0387699368, 9780387287591, 0387291466, 0387243933, 0387242481, 0387242465, 9780387699363
DOI
10.1007/978-0-387-69937-0
LCC
QA76.9.D26 M32 2005
Open Library ID
OL3311124M
Language
english
Format
DJVU
Filesize
1 MB (1241972 bytes)
Series
Advances in Database Systems 33
Edition
1
Pages
150\148
Time added
2010-02-18 13:16:04
Data Mining and Knowledge Discovery; Information S

Description

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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