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.
Giới thiệu về tác giả
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).
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