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Data Mining of Crime Research Information Statistics Portal: The Experience and Lessons Learned

Data Mining of Crime Research Information Statistics Portal: The Experience and Lessons Learned
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Author(s): Christopher Dondanville (The University of Memphis, USA), Xihui Zhang (The University of Memphis, USA) and Ted E. Lee (The University of Memphis, USA)
Copyright: 2007
Pages: 3
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch099
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

In an effort to find some interesting information in a volume of crime information provided by the Secure Police Department (we use a fictitious name for the department) we undertook an effort to apply data mining techniques and algorithms to this data. We used the Megaputer PolyAnalyst data mining tool in a client server configuration with lackluster results. We discovered that data mining is an effort that takes a lot of planning and preparation, requires domain expertise, is extremely resource intensive and although correlations and patterns are readily apparent, they are very rarely of the “interesting” variety.

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