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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
EXPERT RECOMMENDATION FOR CRIME PREDICTION USING DATA MINING TECHNIQUES
Authors
Sethupathi M, Sai srikar G, Sundar Naresh R R, R. Priyatharshini
Keywords
K-Means clustering, Robust Clustering, Case-based Reasoning, Crime analysis, Recommendation system, Predictive analysis, Crime-patterns, law-enforcement.
Abstract
Data mining is the process of extracting essential and required information and discovering patterns from a large amount of data. Crime analysis is a systematic way to deal with distinguishing and examining trends and patterns in crime. With the expanding of automated frameworks, crime information investigators can help the Law requirement officers to accelerate the way toward illuminating violations. The crime data analysts can help the Law implementation officers to accelerate the way toward settling crimes. The proposed framework can anticipate locales which have a high likelihood of crime event and can imagine crime inclined zones. Rather than concentrating on cause or reason of crime event, we are concentrating principally on crime elements of every day. Based on the area recommended a Better officer can be recommended.
IJCRT's Publication Details
Unique Identification Number - IJPUB1802069
Paper ID - 185646
Page Number(s) - 390 - 395
Pubished in - Volume 6 | Issue 2 | April 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sethupathi M, Sai srikar G, Sundar Naresh R R, R. Priyatharshini, "EXPERT RECOMMENDATION FOR CRIME PREDICTION USING DATA MINING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.390 - 395, April 2018, Available at :http://www.ijcrt.org/papers/IJPUB1802069.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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