Sequence Data Mining

This book PDF is perfect for those who love Computers genre, written by Guozhu Dong and published by Springer Science & Business Media which was released on 31 October 2007 with total hardcover pages 150. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sequence Data Mining books below.

Sequence Data Mining
Author : Guozhu Dong
File Size : 50,7 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 31 October 2007
ISBN : 9780387699370
Pages : 150 pages
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Sequence Data Mining by Guozhu Dong Book PDF Summary

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.

Sequence Data Mining

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining

Get Book
Mining Sequential Patterns from Large Data Sets

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied

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Pattern Discovery Using Sequence Data Mining

"This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"--

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Pattern Discovery Using Sequence Data Mining

"This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"--

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Principles of Data Mining and Knowledge Discovery

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical

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Advances in Database Technology EDBT  96

This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT'96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is

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Mining Sequential Patterns from Large Data Sets

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied

Get Book
Pattern Discovery Using Sequence Data Mining

"This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"-- Provided by publisher.

Get Book