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Introduction to Data Mining for the Life Sciences

Download or Read eBook Introduction to Data Mining for the Life Sciences PDF written by Rob Sullivan and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 644 pages. Available in PDF, EPUB and Kindle.
Introduction to Data Mining for the Life Sciences
Author :
Publisher : Springer Science & Business Media
Total Pages : 644
Release :
ISBN-10 : 9781597452908
ISBN-13 : 1597452904
Rating : 4/5 (08 Downloads)

Book Synopsis Introduction to Data Mining for the Life Sciences by : Rob Sullivan

Book excerpt: 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.


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