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 Crime analysis and forecasting on spatio temporal news feed dataan indian context Subject The topic of the resource Crime analysis; Crime density; Crime prediction; Hotspot detection; Social media Description An account of the resource Social media is a platform where people communicate, interact, share ideas, interest in careers, photos, videos, etc. The study says that social media provides an opportunity to observe human behavioral traits, spatial and temporal relationships. Based on study Crime analysis using social media data such as Facebook, Newsfeed articles, Twitter, etc. is becoming one of the emerging areas of research across the world. Using spatial and temporal relationships of social media data, it is possible to extract useful data to analyse criminal activities. The research focuses on implementing textual data analytics by collecting the data from different news feeds and provides visualization. This researchs motivation was identified based on relevant work from different social media crime and Indian government crime statistics. This article focuses on 68 types of different crime keywords for identifying the type of crime. Nae Bayes classification algorithm is used to classify the crime into subcategories of classes with geographical factors, and temporal factors from RSS feeds. Mallet package is used for extracting the keywords from the news-feeds. K-means algorithm is used to identify the hotspots in the crime locations. KDE algorithm is used to identify the density of crime, and also our approach has overcome the challenges in the existing KDE algorithm. The outcome of research validated the proposed crime prediction model with that of the ARIMA model and found equivalent prediction performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. Creator An entity primarily responsible for making the resource Prathap B.R.; Krishna A.V.N.; Balachandran K. Source A related resource from which the described resource is derived Studies in Big Data, Vol-90, pp. 307-327. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-74575-2_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-74575-2_16</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111615173&amp;doi=10.1007%2F978-3-030-74575-2_16&amp;partnerID=40&amp;md5=a159e2c545285b18d406580343a5ccb5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111615173&amp;doi=10.1007%2f978-3-030-74575-2_16&amp;partnerID=40&amp;md5=a159e2c545285b18d406580343a5ccb5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21976503 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 Prathap B.R., Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Krishna A.V.N., Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Balachandran K., Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India