03335cam a2200289 4500 1/36737 090212s2007 ne 001 0 eng 9780750677967 0750677961 39330 OPELS eng OPELS OCLCQ OCLCF GR-PeUP McCue, Colleen. Data mining and predictive analysis [electronic resource] : intelligence gathering and crime analysis / Colleen McCue. Amsterdam ; Boston : Butterworth-Heinemann, c2007. 1 online resource (xxxi, 332 p.) : ill., maps 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. 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. Includes bibliographical references and index. Crime analysis. Data mining. Law enforcement Data processing. Criminal behavior, Prediction of. Electronic books. INST UNIPILB EBOOKS 20100617 00b39330 00b39330 ONLINE 0 ScienceDirect http://www.sciencedirect.com/science/book/9780750677967 /webopac/covers/02/39330_9780750677967.jpg /webopac/covers/02/39330_0750677961.jpg