Biological Knowledge Discovery Handbook

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.

The first comprehensive overview of preprocessing, miningand postprocessing of biological dataMolecular 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 SelectionBIOLOGICAL 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 DataMiningCombining 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 sciencelife science, and mathematics.