Articles liés à Introduction to Data Mining for the Life Sciences
Synopsis
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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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
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Introduction to Data Mining for the Life Sciences
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Humana, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
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Vendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
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Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. N° de réf. du vendeur OTV.1588299422.G
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Introduction to Data Mining for the Life Sciences (eng)
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Introduction to Data Mining for the Life Sciences
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data mining involves uncovering the patterns inherent within the data Provides a set of techniques that can help the life scientist leverage the valuable data asset With each set of techniques are tangible examples to support themDa. N° de réf. du vendeur 4221813
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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press Dez 2011, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 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. 656 pp. Englisch. N° de réf. du vendeur 9781588299420
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Introduction to Data Mining for the Life Sciences
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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press Inc., 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
Neuf
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Etat : New. Data mining provides a set of new techniques to integrate, synthesize, and analyze data, uncovering the hidden patterns that exist within. This book deals with this topic. Num Pages: 638 pages, biography. BIC Classification: PS; UNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 41. Weight in Grams: 1140. . 2011. 2012. Hardback. . . . . N° de réf. du vendeur V9781588299420
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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 656 | Sprache: Englisch | Produktart: Bücher | 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. N° de réf. du vendeur 11054077/12
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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press, Humana Dez 2011, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 656 pp. Englisch. N° de réf. du vendeur 9781588299420
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Introduction to Data Mining for the Life Sciences
Edité par
Humana Press, Humana Press, 2011
ISBN 10 : 1588299422
ISBN 13 : 9781588299420
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. 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. N° de réf. du vendeur 9781588299420
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