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Book chapter
An Approach to Mining Crime Patterns
Selected Readings on Database Technologies and Applications, Vol.2(1), p.268
IGI Global
2009
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Abstract
This paper presents a knowledge discovery effort to retrieve meaningful information about crime from a U.S. state database. The raw data were preprocessed, and data cubes were created using Structured Query Language (SQL). The data cubes then were used in deriving quantitative generalizations and for further analysis of the data. An entropy-based attribute relevance study was undertaken to determine the relevant attributes. A machine learning software called WEKA was used for mining association rules, developing a decision tree, and clustering. SOM was used to view multidimensional clusters on a regular two-dimensional grid.
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Details
- Title
- An Approach to Mining Crime Patterns
- Publication Details
- Selected Readings on Database Technologies and Applications, Vol.2(1), p.268
- Resource Type
- Book chapter
- Publisher
- IGI Global
- Number of pages
- 31
- Copyright
- © 2006, Idea Group Inc.
- Identifiers
- 99380179095706600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Computer Science
- Language
- English