Sorry, this item is currently unavailable.

Biological Knowledge Discovery Handbook Preprocessing, Mining and Postprocessing of Biological ...

ISBN: 9781118132739 | 1118132734
Format: Hardcover
Publisher: Wiley
Pub. Date: 12/23/2013

Why Rent from Knetbooks?

Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!

Top 5 reasons to order all your textbooks from Knetbooks:

  • We have the lowest prices on thousands of popular textbooks
  • Free shipping both ways on ALL orders
  • Most orders ship within 48 hours
  • Need your book longer than expected? Extending your rental is simple
  • Our customer support team is always here to help

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.


  • Part A: Biological Data Management
  • Part B: Biological Data Modeling
  • Part C: Biological Feature Extraction
  • Part D Biological Feature Selection


  • 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.

Please wait while this item is added to your cart...