Biological Knowledge Discovery Handbook (eBook)

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.