Using crowdsourced data to analyze transport crime
نویسندگان
چکیده
منابع مشابه
Analyze Crime Data
Data mining and machine learning have become a vital part of crime detection and prevention. In this research, we use WEKA, an open source data mining software, to conduct a comparative study between the violent crime patterns from the Communities and Crime Unnormalized Dataset provided by the University of California-Irvine repository and actual crime statistical data for the state of Mississi...
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ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expre...
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ژورنال
عنوان ژورنال: International Journal of Logistics Research and Applications
سال: 2018
ISSN: 1367-5567,1469-848X
DOI: 10.1080/13675567.2018.1431211