Data Mining in Biomedicine

Author:   Panos M. Pardalos ,  Vladimir L. Boginski ,  Alkis Vazacopoulos
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2007
Volume:   7
ISBN:  

9781441943439


Pages:   582
Publication Date:   19 November 2010
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Data Mining in Biomedicine


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Overview

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Full Product Details

Author:   Panos M. Pardalos ,  Vladimir L. Boginski ,  Alkis Vazacopoulos
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2007
Volume:   7
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.908kg
ISBN:  

9781441943439


ISBN 10:   1441943439
Pages:   582
Publication Date:   19 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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Reviews

From the reviews: This book is an in-depth look at 'the development of appropriate methods for extracting useful information' from data in biomedicine. ! is aimed at scientists and practitioners in the fields of biomedicine, engineering, mathematics, and computer science as well as graduate students and is appropriate for a variety of readers. ! A well compiled volume on the application of data mining to biomedicine, this book will be a welcome addition to the literature. (Nicole Mitchell, Doody's Review Service, August, 2008)


From the reviews: This book is an in-depth look at 'the development of appropriate methods for extracting useful information, from data in biomedicine. ... is aimed at scientists and practitioners in the fields of biomedicine, engineering, mathematics, and computer science as well as graduate students and is appropriate for a variety of readers. ... A well compiled volume on the application of data mining to biomedicine, this book will be a welcome addition to the literature. (Nicole Mitchell, Doody,s Review Service, August, 2008)


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