Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data

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9781118132739: Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data
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The first comprehensive overview of preprocessing, mining,and postprocessing of biological data

Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered.

Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems 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 DataMining

Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

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About the Author:

MOURAD ELLOUMI is a Full Professor in Computer Science atthe University of Tunis-El Manar, Tunisia. He is theauthor/coauthor of more than fifty publications in internationaljournals and conference proceedings and the coeditor, along withAlbert Zomaya, of Algorithms in Computational Molecular Biology:Techniques, Approaches and Applications (Wiley).

ALBERT Y. ZOMAYA is the Chair Professor of HighPerformance Computing & Networking at The University ofSydney's School of Information Technologies. He is theauthor/coauthor of seven books, more than 450 publications intechnical journals and conference proceedings, and the editor offourteen books and nineteen conference volumes. He is a Fellow ofthe IEEE, the American Association for the Advancement of Science,and IET (UK).

Review:

“This book is a unique resource for practitioners and researchers in computer science, life science, and  mathematics.”  (Zentralblatt MATH, 1 June 2015)

 

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Book Description John Wiley & Sons Inc, United States, 2014. Hardback. Condition: New. New. Language: English. Brand new Book. Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques in biological KDD, presenting a vast yet detailed view of the most important advances in the field. Combining sound theory, technical depth, and practical applications in molecular biology, Biological Knowledge Discovery is a unique resource for practitioners and researchers in computer science, life science, and mathematics. Seller Inventory # AAH9781118132739

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Book Description John Wiley & Sons Inc, United States, 2014. Hardback. Condition: New. New. Language: English. Brand new Book. Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques in biological KDD, presenting a vast yet detailed view of the most important advances in the field. Combining sound theory, technical depth, and practical applications in molecular biology, Biological Knowledge Discovery is a unique resource for practitioners and researchers in computer science, life science, and mathematics. Seller Inventory # AAH9781118132739

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