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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Introduction to Data Mining for the Life Sciences

Handbook / Manual
By: Rob Sullivan
942 pages, 84 colour & 122 b/w illustrations
Publisher: Springer-Verlag
Introduction to Data Mining for the Life Sciences
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  • Introduction to Data Mining for the Life Sciences ISBN: 9781588299420 Hardback Dec 2011 Usually dispatched within 1-2 weeks
    £199.99
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About this book Contents Customer reviews Related titles

About this book

Data mining provides a set of new techniques to integrate, synthesize, and analyze data, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Contents

- Introduction
- Fundamental Concepts
- Data Architecture and Data Modeling
- Representing Data Mining Results
- The Input Side of the Equation
- Statistical Methods
- Bayesian Statistics
- Machine Learning Techniques
- Classification and Prediction
- Informatics
- Systems Biology
- Let's Call it a Day

Appendix A
Appendix B
Appendix C
Appendix D

Index

Customer Reviews

Handbook / Manual
By: Rob Sullivan
942 pages, 84 colour & 122 b/w illustrations
Publisher: Springer-Verlag
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