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    Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis (Paperback) By (author) Colleen Mccue

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    DescriptionIt 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. It serves as a valuable reference tool for both the student and the law enforcement professional. It contains practical information used in real-life law enforcement situations. Its approach is very user-friendly, conveying sophisticated analyses in practical terms.

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  • Full bibliographic data for Data Mining and Predictive Analysis

    Data Mining and Predictive Analysis
    Intelligence Gathering and Crime Analysis
    Authors and contributors
    By (author) Colleen Mccue
    Physical properties
    Format: Paperback
    Number of pages: 368
    Width: 191 mm
    Height: 235 mm
    Thickness: 19 mm
    Weight: 654 g
    ISBN 13: 9780750677967
    ISBN 10: 0750677961

    Warengruppen-Systematik des deutschen Buchhandels: 27440
    BIC E4L: COM
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Subject Development: 20
    BIC subject category V2: JKV, JPH
    Nielsen BookScan Product Class 3: S10.4
    B&T General Subject: 650
    B&T Modifier: Academic Level: 03
    B&T Merchandise Category: POD
    B&T Modifier: Text Format: 01
    BISAC V2.8: POL014000, SOC004000
    DC21: 363.256
    BIC subject category V2: UNC
    LC subject heading: ,
    BISAC V2.8: COM021000
    DC22: 363.25/6
    LC subject heading:
    LC classification: 2006040568
    LC subject heading: ,
    LC classification: HV7936.C88 M37 2007
    Thema V1.0: UNC, JKV, UN
    Illustrations note
    Approx. 100 illustrations
    Imprint name
    Butterworth-Heinemann Ltd
    Publication date
    17 October 2006
    Publication City/Country
    Author Information
    Dr. Colleen McCue brings over 18 years of experience in advanced analytics and the development of actionable solutions to complex information processing problems in the applied public safety and national security environment. Her areas of expertise include the application of data mining and predictive analytics to the analysis of crime and intelligence data, with particular emphasis on deployment strategies, surveillance detection, threat and vulnerability assessment, fraud detection and the behavioral analysis of violent crime. Dr. McCue's experience in the applied law enforcement setting and pioneering work in operationally relevant and actionable analytical strategies has been used to support a wide array of national security and public safety clients. In this role, she brings more science and less fiction to the field of operational security analytics, helping her clients gain the insight necessary to prevent crime and improve public safety outcomes.
    Review quote
    "[Data Mining and Predictive Analysis] is a must-read..., blending analytical horsepower with real-life operational examples. Operators owe it to themselves to dig in and make tactical decisions more efficiently, and learn the language that sells good tactics to leadership. Analysts, intell support, and leaders owe it to themselves to learn a new way to attack the problem in support of law enforcement, security, and intelligence operations. Not just a dilettante academic, Dr. McCue is passionate about getting the best tactical solution in the most efficient way-and she uses data mining to do it. Understandable yet detailed, [Data Mining and Predictive Analysis] puts forth a solid argument for integrating predictive analytics into action. Not just for analysts!" - Tim King (Director, Special Programs and Global Business Development, ArmorGroup International Training)
    Table of contents
    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