Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data (Wiley Series in Bioinformatics, Band 23) - Hardcover

Hardcover

ISBN 10: 1118132734 ISBN 13: 9781118132739

Verlag: Wiley, 2014

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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

ALBERT Y. ZOMAYA is the Chair Professor of High Performance Computing & Networking at The University of Sydney's School of Information Technologies. He is the author/coauthor of seven books, more than 450 publications in technical journals and conference proceedings, and the editor of fourteen books and nineteen conference volumes. He is a Fellow of the IEEE, the American Association for the Advancement of Science, and IET (UK).

Von der hinteren Coverseite

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.

Aus dem Klappentext

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.

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2014
• Sprache: Englisch
• ISBN 10: 1118132734
• ISBN 13: 9781118132739
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 1192
• Herausgeber: Elloumi Mourad, Zomaya Albert Y.
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland