Publisher description for Data mining and predictive analysis : intelligence gathering and crime analysis / Colleen McCue.


Bibliographic record and links to related information available from the Library of Congress catalog


Information from electronic data provided by the publisher. May be incomplete or contain other coding.


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Data Mining and Predictive Analysis contains a comprehensive overview of data mining and predictive analytics in crime and intelligence analysis, and underscores the benefits of increased use of data mining among government and law enforcement agencies. Covering such topics as how to map criminal acts, detect possible patterns, and use predictive tools to prevent future crimes and/or terrorist acts from occurring, the books cuts through the technical language of other books on data mining, making it a useful training tool for new officers and agents entering the field. The book is written as a primer for those with little formal statistical training, but assumes knowledge of crime and intelligence analysis and a desire to learn data mining.

By providing a background on data mining and predictive analysis, the book will enable law enforcement managers and command staff to make informed decisions about the potential, acquisition, and use of these products and techniques. The book also demonstrates how data mining and predictive analytics can be applied to a variety of common and emerging questions that crime and intelligence analysts encounter. Finally, the book serves as a valuable companion document to any software-specific training manual or course, should the analyst decide to pursue additional training in this area.

- Use of actual cases, briefly summarized and illustrated to emphasize key principles
- Numerous illustrations, data examples, and screen shots illustrate key points
- A non-technical reference that explains both basic and complex concepts of the underlying fundamentals of data mining use in criminal detection


Library of Congress subject headings for this publication:
Crime analysis.
Data mining.
Law enforcement -- Data processing.
Criminal behavior, Prediction of.