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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Using Map-Based Interactive Interface for Understanding and Characterizing Crime Data in Cities
verfasst von : Zhenxiang Chen, Qiben Yan, Lei Zhang, Lizhi Peng, Hongbo Han
Erschienen in: Advances in Swarm and Computational Intelligence
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Crime Data Analysis is vital to all cities and has become a major challenge. It is important to understand crime data to help law enforcement and the public in finding solutions and in making decisions. Data mining algorithms in conjunction with information system technologies and detailed public data about crimes in a given area have allowed the government and the public to better understand and characterize crimes. Furthermore, using visualization tools, the data can be represented in forms that are easy to interpret and use. This paper describes the design and implementation of a map-based interactive crime data web application that can help identify spatial temporal association rules around various types of facilities at different time, and extract important information that will be visualized on a map.