文章基本信息

标题：Crime Predictive Model using Big Data Analytics
本地全文：下载
作者：RajaniKanth Aluvalu ; Tirthraj Chauhan
期刊名称：Annals. Computer Science Series
印刷版ISSN：1583-7165
电子版ISSN：2065-7471
出版年度：2016
卷号：14
期号：2
页码：25-28
出版社：Mirton Publishing House, Timisoara
摘要：With the increasing crime rate, the technological advancement is also increasing which can be considered as a reason for increasing the crime rate. The crime related data is in any of the formats i.e., structured, semi-structured or unstructured data. In early time the data recorded was less and mostly in the structured format so it was easy to analyze that data. If it is possible to analyze the structured, semi-structured and unstructured data (collectively known as Big Data) then it would be beneficial to security authority to use the past data for the prediction purpose. Here we are using R studio for analyzing the Big Data. First, we obtained the data and a plot that data on the map. Then by applying the clustering algorithm on the data we plotted and finally we plot the clustered data on the basis of which prediction can be made. This can be considered as the way that how a Big Data Analytics can be used in developing crime predictive model
关键词：Crime prediction; Unstructured data; Kmeans clustering; R language; KDE