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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Introduction to Data Mining for the Life Sciences

Introduction to Data Mining for the Life Sciences

Sullivan, Rob

Hardcover

Anatomy & PhysiologyGeneral Science

ISBN10: 1588299422
ISBN13: 9781588299420
Publisher: Springer Nature
Published: Dec 26 2011
Pages: 638
Weight: 2.24
Height: 1.60 Width: 6.10 Depth: 9.20
Language: English
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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