Data mining and predictive analysis[...
McCue, Colleen.

 

  • Data mining and predictive analysis[electronic resource] :intelligence gathering and crime analysis /
  • レコード種別: コンピュータ・メディア : 単行資料
    [NT 15000414] null: 363.256
    タイトル / 著者: Data mining and predictive analysis : intelligence gathering and crime analysis // Colleen McCue.
    著者: McCue, Colleen.
    出版された: Amsterdam : : Butterworth-Heinemann,, 2015.
    記述: 1 online resource.
    主題: Crime analysis.
    主題: Data mining.
    主題: Law enforcement - Data processing.
    主題: Criminal behavior, Prediction of.
    国際標準図書番号 (ISBN) : 9780128004081 (electronic bk.)
    国際標準図書番号 (ISBN) : 0128004088 (electronic bk.)
    国際標準図書番号 (ISBN) : 9780128002292 (electronic bk.)
    国際標準図書番号 (ISBN) : 0128002298 (electronic bk.)
    [NT 15000227] null: Includes bibliographical references and index.
    [NT 15000229] null: Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment.
    電子資源: click for full text
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