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Biological Knowledge Discovery Handbook – Preprocessing, Mining, and Postprocessing of Biological Data Hardback - 2013
by Elloumi, Mourad/ Zomaya, Albert Y
- New
- Hardback
A$401.01
A$29.26
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Details
- Title Biological Knowledge Discovery Handbook – Preprocessing, Mining, and Postprocessing of Biological Data
- Author Elloumi, Mourad/ Zomaya, Albert Y
- Binding Hardback
- Edition International Ed
- Condition New
- Pages 1192
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons Inc
- Publication date 2013
- Bookseller's Inventory # __1118132734
- ISBN 9781118132739 / 1118132734
- Weight 4.75 lbs (2.15 kg)
- Dimensions 10.2 x 7.2 x 2.3 in (25.91 x 18.29 x 5.84 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Category Computers - Data Base Management
- Library of Congress Catalogue Number 2012042379
- Dewey Decimal Code 572.8
- Quantity available 1
About Revaluation Books Devon, United Kingdom
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General bookseller of both fiction and non-fiction.
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From the rear cover
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data
Molecular biology is undergoing exponential growth in both the volume and complexity of biological data--and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)--providing in-depth fundamental and technical field information on the most important topics encountered.
Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing--also known as data mining--and data postprocessing) and analyzes both verification systems and discovery systems.
BIOLOGICAL DATA PREPROCESSING
- Part A: Biological Data Management
- Part B: Biological Data Modeling
- Part C: Biological Feature Extraction
- Part D Biological Feature Selection
BIOLOGICAL DATA MINING
- Part E: Regression Analysis of Biological Data
- Part F Biological Data Clustering
- Part G: Biological Data Classification
- Part H: Association Rules Learning from Biological Data
- Part I: Text Mining and Application to Biological Data
- Part J: High-Performance Computing for Biological Data Mining
Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
