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This title in other editions

Advances in Database Systems #33: Sequence Data Mining

by

Advances in Database Systems #33: Sequence Data Mining Cover

 

Synopses & Reviews

Publisher Comments:

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.  

Synopsis:

This book provides balanced coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods.

Table of Contents

-Forward by Professor Jiawei Han, University of Illinois at Urbana-Champaign.- Preface.- Introduction.- Frequent and Closed Sequence Patterns.- Classification, Clustering, Features and Distances of Sequence Data.- Sequence Motifs: Identifying and Characterizing Sequence Families.- Mining Partial Orders from Sequences.- Distinguishing Sequence Patterns.- Related Topics.- Index.- References.  

Product Details

ISBN:
9781441943521
Author:
Dong, Guozhu
Publisher:
Springer
Author:
Pei, Jian
Location:
Boston, MA
Subject:
Bioengineering
Subject:
Bioinformatics
Subject:
Data analysis
Subject:
Genomics
Subject:
pattern mining
Subject:
pattern types
Subject:
sequence patterns
Subject:
Web services
Subject:
Data Mining and Knowledge Discovery
Subject:
Information storage and retrieval.
Subject:
Database management
Subject:
Computational Biology/Bioinformatics
Subject:
biometrics
Subject:
Computer Communication Networks <P>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
Subject:
Computers-Reference - General
Subject:
Computer Communication Networks
Subject:
Computer Science
Subject:
Language, literature and biography
Subject:
Data mining
Subject:
Information storage and retrieva
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2007
Series:
Advances in Database Systems
Series Volume:
33
Publication Date:
20101123
Binding:
TRADE PAPER
Language:
English
Pages:
168
Dimensions:
235 x 155 mm 264 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Information
Computers and Internet » Networking » Computer Security
Computers and Internet » Networking » General

Advances in Database Systems #33: Sequence Data Mining New Trade Paper
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$180.25 In Stock
Product details 168 pages Not Avail - English 9781441943521 Reviews:
"Synopsis" by , This book provides balanced coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods.
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