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Data mining and predictive analysisi...

McCue, Colleen.

Data mining and predictive analysisintelligence gathering and crime analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining and predictive analysisColleen McCue.
Reminder of title:	intelligence gathering and crime analysis /
Author:	McCue, Colleen.
Published:	Amsterdam ;Butterworth-Heinemann,c2007.
Description:	xxxi, 332 p. :ill., maps ;24 cm.
Subject:	Crime analysis.
Online resource:	An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780750677967
Online resource:	http://www.loc.gov/catdir/enhancements/fy0646/2006040568-d.html
ISBN:	9780750677967

Data mining and predictive analysisintelligence gathering and crime analysis /
McCue, Colleen.

Data mining and predictive analysisintelligence gathering and crime analysis /[electronic resource] :Colleen McCue. - Amsterdam ;Butterworth-Heinemann,c2007. - xxxi, 332 p. :ill., maps ;24 cm.

Includes bibliographical references and index.

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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780750677967

Source: 103995:104016Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

258597
Crime analysis.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HV7936.C88 / M37 2007eb

Dewey Class. No.: 363.25/6

Data mining and predictive analysisintelligence gathering and crime analysis /
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037 $a 103995:104016 $b Elsevier Science & Technology $n http://www.sciencedirect.com
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050 1 4 $a HV7936.C88 $b M37 2007eb
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100 1 $a McCue, Colleen. $3 258596
245 1 0 $a Data mining and predictive analysis $h [electronic resource] : $b intelligence gathering and crime analysis / $c Colleen McCue.
260 $a Amsterdam ; $a Boston : $c c2007. $b Butterworth-Heinemann,
300 $a xxxi, 332 p. : $b ill., maps ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a 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.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on July 25, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Crime analysis. $3 258597
650 0 $a Data mining. $3 184440
650 0 $a Law enforcement $x Data processing. $3 258599
650 0 $a Criminal behavior, Prediction of. $3 258598
655 7 $a Electronic books. $2 local. $3 214472
710 2 $a ScienceDirect (Online service) $3 307425
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780750677967 $z An electronic book accessible through the World Wide Web; click for information
856 4 0 $3 Referex $u http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780750677967 $z An electronic book accessible through the World Wide Web; click for information
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy0646/2006040568-d.html
994 $a C0 $b TEF

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