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Data mining and predictive analysis ...
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McCue, Colleen.
Data mining and predictive analysis : intelligence gathering and crime analysis
紀錄類型:
書目-語言資料,印刷品 : 單行本
副題名:
intelligence gathering and crime analysis
作者:
McCueColleen.,
其他團體作者:
ScienceDirect (Online service)
出版地:
Amsterdam
出版者:
Butterworth-Heinemann;
出版年:
c2007.
面頁冊數:
xxxi, 332 p.ill., maps : 24 cm.;
標題:
Crime analysis. -
標題:
Criminal behavior, Prediction of. -
標題:
Data mining. -
標題:
Law enforcement - Data processing. -
標題:
Electronic books. -
電子資源:
http://www.loc.gov/catdir/enhancements/fy0646/2006040568-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0646/2006040568-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0646/2006040568-d.html
附註:
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007.
摘要註:
It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk-based deployment strategies," that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity. Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities. * Serves as a valuable reference tool for both the student and the law enforcement professional * Contains practical information used in real-life law enforcement situations * Approach is very user-friendly, conveying sophisticated analyses in practical terms.
ISBN:
0750677961
內容註:
Introductory Section Chapter 1: Basics Chapter 2: Domain Expertise Chapter 3: Data mining Methods Chapter 4: Process Models for Data Mining and Analysis Chapter 5: Data Chapter 6: Operationally-relevant preprocessing Chapter 7: Identification, Characterization and Modeling Chapter 8: Evaluation Chapter 9: Operationally-Actionable Output Applications Chapter 10: Normal Crime Chapter 11: Behavioral Analysis of Violent Crime Chapter 12: Risk and Threat Assessment Case Examples Chapter 13: Deployment Chapter 14: Surveillance Detection Advanced Concepts and Future Trends Chapter 15: Advanced Concepts in Data Mining Chapter 16: Future Trends.
Data mining and predictive analysis : intelligence gathering and crime analysis
McCue, Colleen.
Data mining and predictive analysis
: intelligence gathering and crime analysis / Colleen McCue. - Amsterdam : Butterworth-Heinemann, c2007.. - xxxi, 332 p. ; ill., maps ; 24 cm..
Introductory Section.
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007..
Includes bibliographical references and index..
ISBN 0750677961ISBN 9780750677967
Crime analysis.Criminal behavior, Prediction of.Data mining.Law enforcement Electronic books. -- Data processing.
Data mining and predictive analysis : intelligence gathering and crime analysis
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It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk-based deployment strategies," that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity. Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities. * Serves as a valuable reference tool for both the student and the law enforcement professional * Contains practical information used in real-life law enforcement situations * Approach is very user-friendly, conveying sophisticated analyses in practical terms.
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