Abstract
All Police Analysts in the UK, and many Forces in Europe and the USA, use the National Intelligence Model as a means to provide relevant, timely and actionable intelligence. In order to produce the required documentation analysts have to mine a variety of in-house data systems but do not receive any formal data mining training. The Cross Industry Standard Process for Data Mining is a database agnostic data mining methodology which is logical and easy to follow. By using a self-organising map to suggest offenders who may be responsible for sets of house burglary, this study explores the difference between both processes and suggests that they could be used to complement each other in real Police work.
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Adderley, R. (2013). Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study. In: Rausch, P., Sheta, A., Ayesh, A. (eds) Business Intelligence and Performance Management. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-4866-1_7
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DOI: https://doi.org/10.1007/978-1-4471-4866-1_7
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