Home Introduction to Data Mining for the Life Sciences by Rob Sullivan (ISBN: 9781627039482)

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Introduction to Data Mining for the Life Sciences Paperback - 2014

Name: Introduction to Data Mining for the Life Sciences
Price: 200.85 GBP
Availability: InStock
Author: Rob Sullivan
ISBN: 9781627039482

by Rob Sullivan

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From the publisher

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.

From the rear cover

One of the major challenges for the scientific community, a challenge that has been seen in many business disciplines, is the exponential increase in data being generated by new experimental techniques and research. A single microarray experiment, for example, can generate thousands of data points that need to be analyzed, and this problem is predicted to increase. As new techniques in areas such as genomics and proteomics continue to be adopted into the mainstream as the costs fall, the need for effective mechanisms for synthesizing these disparate forms of data together for analysis is of paramount importance. But the sheer volume of data means that traditional techniques need to be augmented by approaches that elicit knowledge from the data, using automated procedures.

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

Details

Title Introduction to Data Mining for the Life Sciences
Author Rob Sullivan
Binding Paperback
Pages 638
Volumes 1
Language ENG
Publisher Humana
Publication date 2014-03-03
Illustrated Yes
Features Illustrated
ISBN 9781627039482 / 1627039481
Weight 2.05 lbs (0.93 kg)
Dimensions 9 x 6.1 x 1.3 in (22.86 x 15.49 x 3.30 cm)
Themes
- Aspects (Academic): Science/Technology Aspects
Category Science
Dewey Decimal Code 570.285

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