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Introduction to Data Mining for the Life Sciences

  • Book
  • © 2012

Overview

  • Data mining involves uncovering the patterns inherent within the data
  • Provides a set of techniques that can help the life scientist leverage the valuable data asset
  • With each set of techniques are tangible examples to support them
  • Includes supplementary material: sn.pub/extras

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Table of contents (12 chapters)

Keywords

About this book

Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, 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.

Authors and Affiliations

  • Cincinnati, USA

    Rob Sullivan

Bibliographic Information

  • Book Title: Introduction to Data Mining for the Life Sciences

  • Authors: Rob Sullivan

  • DOI: https://doi.org/10.1007/978-1-59745-290-8

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-58829-942-0Published: 26 December 2011

  • Softcover ISBN: 978-1-62703-948-2Published: 03 March 2014

  • eBook ISBN: 978-1-59745-290-8Published: 07 January 2012

  • Edition Number: 1

  • Number of Pages: XVIII, 638

  • Topics: Bioinformatics

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