Crime pattern detection

In parallel to the application of data mining for terrorism (post1, post2, post3), people also use it for discovering crime patterns. This is the case of Shyam Varan Nath in one of his paper. You can found information about this paper thanks to a comment from Ralf.

In this paper, Shyam explores clustering techniques for supporting identification of crime patterns. According to him, an important issue in data mining crime data is to convert free text in data mining attributes. This usually involves some experts in the crime field. Selected attributes can also have a weight according to the crime types. One of the limitations in his study, which I would more refer to as a conclusion, is that crime pattern analysis can support the detective although not replacing him. For more details, you can read the paper or visit his blog.

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New data mining blog

Today I would like to introduce you to a new data mining blog. Crime Analysis and Data Mining is a weblog maintained by Shyam Varan Nath. It started in 2007 and deals with data mining used for crime analysis. In his first posts, he writes about biometric as well as news related to crime and security. This blog opens a door on possible applications of data mining that might be very interesting...

[Next week is holiday for Data Mining Research, see you on February 19th]

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Mining crime information

Using data mining techniques to help fighting crime sounds good. It is certainly an interesting topic. Can you imagine saying that you have caught a criminal using a decision tree? :-) Although this view is very simplistic, data mining seems to be helpful in some situations as pointed out by LocalTechWire. The main idea is to use data mining methods to identify crime trends and then anticipate crimes. This is certainly a trendy topic for data mining, proved by the publication of a new book by Colleen McCue: Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis.

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