Analysis of Crimes Against Women in India Using Regression
R. Devakunchari1, Bhowmick S2, Bhutada S P3, Shishodia Y4
1R.Devakunchari, Assistant Professor, Department of CSE, SRMIST, Chennai (Tamil Nadu), India.
2Bhowmick S, UG Student, Department of CSE, SRMIST, Chennai (Tamil Nadu), India.
3Bhutada S P, UG Student, Department of CSE, SRMIST, Chennai (Tamil Nadu), India.
4Shishodia Y, UG Student, Department of CSE, SRMIST, Chennai (Tamil Nadu), India.
Manuscript received on 10 January 2019 | Revised Manuscript received on 20 January 2019 | Manuscript Published on 30 January 2019 | PP: 124-127 | Volume-8 Issue-2S2, January 2019 | Retrieval Number: B10270182S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Women security is one of the biggest concerns of the country right now. Crimes against women in the form of murders, rapes, dowry threats, have been on the up in the past decade. It has existed in the past but only in the last decade, has it become a source of discussion and concern. Several data analysis projects have been sanctioned and used for crime detection, prediction and prevention; few have been done about crime against women in India and almost none with regards to different crimes against women. This paper describes an in-detail analysis of crimes against^women from 2002 to 2011. This study uses regression as well as visualization for analyzing the crime patterns over the previously mentioned years and helps predict the possible age group to target with the awareness drives, the frequency of different crimes in different states and thus, evaluate the effectiveness of the current security measures in all the states of the country. The knowledge gained from these then can be given to the police and the various crime agencies to help them take better decisions regarding prevention of crimes against women in India. This approach can be quite effective and can be used globally.
Keywords: Analysis Regression Visualization Data.
Scope of the Article: Measurement & Performance Analysis