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![]( "Buchcover ISBN 9781118853726")
„This book is a unique resource for practitioners and researchers in computer science, life science, and mathematics.“ (Zentralblatt MATH, 1 June 2015)
Biological Knowledge Discovery Handbook
Preprocessing, Mining and Postprocessing of Biological Data
von Mourad Elloumi und Albert Y. ZomayaThe 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.
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.
