Biological Knowledge Discovery Handbook

Preprocessing, Mining and Postprocessing of Biological Data

Reeks: Wiley Series in Bioinformatics

Yi Pan

Leesfragment

€164,99

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.