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Advanced data mining technologies in...

Hsu, Hui-Huang, (1965-)

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Advanced data mining technologies in bioinformatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced data mining technologies in bioinformatics/ Hui-Huang Hsu [editor].{me_controlnum}
other author:	Hsu, Hui-Huang,
Published:	Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), : c2006.,
Description:	x, 329 p. :ill. ;27 cm.
Subject:	Bioinformatics. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-863-5
ISBN:	9781591408659 (ebook)

Advanced data mining technologies in bioinformatics
Advanced data mining technologies in bioinformatics[electronic resource] /Hui-Huang Hsu [editor].{me_controlnum} - Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),c2006. - x, 329 p. :ill. ;27 cm.

Includes bibliographical references and index.

The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformaticsis extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.

Mode of access: World Wide Web.

ISBN: 9781591408659 (ebook)Subjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2 / .A38 2006e

Dewey Class. No.: 572.8/0285

Advanced data mining technologies in bioinformatics
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520 3 $a The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformaticsis extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.
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