552,86 €
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Introduction to Data Mining for the Life Sciences
Introduction to Data Mining for the Life Sciences
552,86
614,29 €
  • We will send in 10–14 business days.
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 relation…
614.29
  • Publisher:
  • Year: 2011
  • Pages: 638
  • ISBN-10: 1588299422
  • ISBN-13: 9781588299420
  • Format: 15.5 x 23.4 x 4.1 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Introduction to Data Mining for the Life Sciences (e-book) (used book) | bookbook.eu

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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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  • Author: Rob Sullivan
  • Publisher:
  • Year: 2011
  • Pages: 638
  • ISBN-10: 1588299422
  • ISBN-13: 9781588299420
  • Format: 15.5 x 23.4 x 4.1 cm, kieti viršeliai
  • Language: English 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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