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
BIOLOGICAL DATA PREPROCESSINGPart A: Biological Data
ManagementPart B: Biological Data ModelingPart C: Biological
Feature ExtractionPart D Biological Feature Selection
BIOLOGICAL DATA MININGPart E: Regression Analysis of Biological
DataPart F Biological Data ClusteringPart G: Biological Data
ClassificationPart H: Association Rules Learning from Biological
DataPart I: Text Mining and Application to Biological DataPart 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.
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