کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384629 660852 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mining co-distribution patterns for large crime datasets
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Mining co-distribution patterns for large crime datasets
چکیده انگلیسی

Crime activities are geospatial phenomena and as such are geospatially, thematically and temporally correlated. We analyze crime datasets in conjunction with socio-economic and socio-demographic factors to discover co-distribution patterns that may contribute to the formulation of crime. We propose a graph based dataset representation that allows us to extract patterns from heterogeneous areal aggregated datasets and visualize the resulting patterns efficiently. We demonstrate our approach with real crime datasets and provide a comparison with other techniques.


► Propose a co-distribution pattern mining approach for large crime data.
► Discover co-patterning crime incidents.
► Propose visualization approaches for co-patterning crime data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 14, 15 October 2012, Pages 11556–11563
نویسندگان
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