By Shaidurov V. V., Timmerman G.

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If the height given in the description lay within a specified range, it was coded as a one and the other intervals as zero. In order to allow for slight discrepancies between descriptions of the same offender and to incorporate some aspect of ordering, two sets of overlapping intervals were used for each variable. This means that each height was encoded as a set of binary variables, two of which would be set to 1 for any given height and the remainder set to 0, and similarly for age. To illustrate, consider an offender who is estimated as being about 5’5" (people still do not think in metric units).

The arrest records can be obtained from government databases. In the end, 10 data components can be gleaned from commercial and government data sources. This is important because in commercial applications, data mining is often used to profile potential customers using lifestyle information, such as occupation or marital status, to segment product offerings and develop predictive models. Similar applications of data mining models can be made for criminal profiling analyses. 13 Profiling via Pattern Recognition 21 rience.

This means in our system of encoding that all build binary variables will be set to 0. This does not mean that the person does not have a build! The problem of missing values is notorious in statistical data analysis. There is no universal solution for dealing with this problem adequately. What is of interest is how robust the technique is, faced with the inevitable missing values. 15 Clustering Burglars: A Case Study Over the three-year period under consideration, there were 800 bogus official crimes involving 1,292 offenders in the police areas under consideration.

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