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Contemporary Perspectives in Data Mining: Volume 1 (Hardback)

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ISBN 10: 1623960568 / ISBN 13: 9781623960568
Edité par Information Age Publishing, United States, 2012
Neuf(s) Etat : New Hardback
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A propos de cet article

Language: English . Brand New Book. The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement. N° de réf. du libraire AAN9781623960568

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Détails bibliographiques

Titre : Contemporary Perspectives in Data Mining: ...

Éditeur : Information Age Publishing, United States

Date d'édition : 2012

Reliure : Hardback

Etat du livre :New

A propos de ce titre

Synopsis :

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.

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