Description

Book Synopsis
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years, data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Consequently, data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. Data management comprises all the disciplines related to managing data as a valuable resource. This book gathers the latest research from around the globe in these fields and relative topics such as: cognitive finance, data mining of the Indian mineral industry, managing building information models, a new co-training method for data mining, and others.

Data Mining & Management

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    A Hardback by Lawrence I Spendler

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      Publisher: Nova Science Publishers Inc
      Publication Date: Publication Date: 21/07/2011
      ISBN13: 9781607412892, 978-1607412892
      ISBN10: 1607412896
      Also in:
      Computing Computer science

      Description

      Book Synopsis
      Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years, data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Consequently, data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. Data management comprises all the disciplines related to managing data as a valuable resource. This book gathers the latest research from around the globe in these fields and relative topics such as: cognitive finance, data mining of the Indian mineral industry, managing building information models, a new co-training method for data mining, and others.

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