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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	CRIME PREDICTION USING K-NEAREST NEIGHBORING ALGORITHM
Authors Name:	PATEL SALMAN ARIF , SHEWALE ASHWINI PRATAP , DESHMUKH JAYASHREE B. , SHINDE PRADNYA SUNIL , Dr. UMESH B. PAWAR
Unique Id:	IJSDR2305171
Published In:	Volume 8 Issue 5, May-2023
Abstract:	Brutal crime happening, there must be some protection against this crime. Here we introduced a system by which crime rate can be reduced. Crime data must be fed into the system. We introduced data mining algorithm to predict crime. KNN algorithm plays an important role in analyzing and predicting crimes. KNN algorithm will cluster co-offenders, collaboration and dissolution of organized crime groups, identifying various relevant crime patterns, hidden links, link prediction and statistical analysis of crime data. This system will prevent crime occurring in society. Crime data is analyzed which is stored in the database. Data mining algorithm will extract information and patterns from database. System will group crime. Clustering will be done based on places where crime occurred, gang who involved in crime and the timing crime took place. This will help to predict crime which will occur in future. user will enter source to destination details into the system which is required for prediction. user can view criminal historical data. Crime incident prediction depends mainly on the historical crime record and various geospatial and demographic information
Keywords:	Web Application, Machine learning, Datamining learning
Cite Article:	"CRIME PREDICTION USING K-NEAREST NEIGHBORING ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1082 - 1085, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305171.pdf
Downloads:	000337061
Publication Details:	Published Paper ID: IJSDR2305171 Registration ID:206445 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 1082 - 1085 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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