Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spatio-temporal crime analysis using KDE and ARIMA models in the Indian context Subject The topic of the resource ARIMA Model; Crime; Crime Analysis; Crime Density; Crime Prediction; Kernel Density Estimation; Law Enforcement; Newsfeed Crime Data; Predictive Analysis; Social Media Description An account of the resource In developing countries like India, crime plays a detrimental role in economic growth and prosperity. With the increase in delinquencies, law enforcement needs to deploy limited resources optimally to protect citizens. Data mining and predictive analytics provide the best options for the same. This paper examines the news feed data collected from various sources regarding crime in India and Bangalore city. The crimes are then classified on the geographic density and the crime patterns such as time of day to identify and visualize the distribution of national and regional crime such as theft, murder, alcoholism, assault, etc. In total, 68 types of crime-related dictionary keywords are classified into six classes based on the news feed data collected for one year. Kernel density estimation method is used to identify the hotspots of crime. With the help of the ARIMA model, time series prediction is performed on the data. The diversity of crime patterns is visualized in a customizable way with the help of a data mining platform. Copyright 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Creator An entity primarily responsible for making the resource Boppuru P.R.; Ramesha K. Source A related resource from which the described resource is derived International Journal of Digital Crime and Forensics, Vol-12, No. 4, pp. 1-19. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJDCF.2020100101" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJDCF.2020100101</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091853523&amp;doi=10.4018%2FIJDCF.2020100101&amp;partnerID=40&amp;md5=66a03decceaf32fd0dfcdfaf43d8b54d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091853523&amp;doi=10.4018%2fIJDCF.2020100101&amp;partnerID=40&amp;md5=66a03decceaf32fd0dfcdfaf43d8b54d</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 19416210 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Boppuru P.R., Christ University, Deemed, India; Ramesha K., Ambedkar Institute of Technology, India