Introduction to Data Mining for the Life Sciences
Rob Sullivan
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Description for Introduction to Data Mining for the Life Sciences
Paperback. Num Pages: 638 pages, biography. BIC Classification: PSD. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 33. Weight in Grams: 991.
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.
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.
Product Details
Format
Paperback
Publication date
2014
Publisher
Humana Press Inc. United States
Number of pages
638
Condition
New
Number of Pages
638
Place of Publication
Totowa, NJ, United States
ISBN
9781627039482
SKU
V9781627039482
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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