Description

Book Synopsis
The series, Contemporary Perspectives in 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 from 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.

Contemporary Perspectives in Data Mining: Volume

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    £87.40

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    RRP £92.00 – you save £4.60 (5%)

    Order before 4pm tomorrow for delivery by Mon 22 Jun 2026.

    A Hardback by Kenneth D. Lawrence, Ronald K. Klimberg


      View other formats and editions of Contemporary Perspectives in Data Mining: Volume by Kenneth D. Lawrence

      Publisher: Information Age Publishing
      Publication Date: 30/12/2012
      ISBN13: 9781623960568, 978-1623960568
      ISBN10: 1623960568
      Also in:
      Business applications Probability and statistics

      Description

      Book Synopsis
      The series, Contemporary Perspectives in 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 from 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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