Literaturnachweis - Detailanzeige
| Autor/inn/en | Boppuru, Prarthap Rudra; K, Ramesha |
|---|---|
| Titel | Geo-Spatial Crime Analysis Using Newsfeed Data in Indian Context |
| Quelle | In: International Journal of Web-Based Learning and Teaching Technologies, 14 (2019) 4, S.49-64, Artikel 3 (16 Seiten)Infoseite zur Zeitschrift
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| Zusatzinformation | ORCID (Boppuru, Prarthap Rudra) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1548-1093 |
| Schlagwörter | Social Media; Foreign Countries; Prediction; Law Enforcement; Data Use; Geographic Location; Newspapers; Spatial Ability; Metadata; Web Sites; Classification; Information Retrieval; Pattern Recognition; Time Perspective; Crime; Statistical Distributions; India |
| Abstract | Social media is the platforms where users communicate, interact, share ideas, career interest, pictures, video, etc. Social media gives an opportunity to analyze the human behavior. Crime analysis using data from social media such as Newsfeeds, Facebook, Twitter, etc., is becoming one of the emerging areas of research for law enforcement organizations across the world. The intelligence gathered through data is used for identifying future attacks and plan for reinforcements. This article focuses on the implementation of textual data analytics by collecting the data from different newsfeeds and provides an optimized visualization. This article establishes a framework for better prediction of 16 types of crime in India and the Bangalore area by providing the coordinates of the crime area, along with the crime which might happen there. (As Provided). |
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| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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