 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Analysis and Prediction of Crime Hotspots Areas |
| Authors Name: | Mrs. Ashwini Rayannavar , Anmol Kumar , Aman Raj , Anubhav Nath , Ayush Raj |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188890
|
| Published Paper Id: | IJRTI2401025 |
| Published In: | Volume 9 Issue 4, January-2024 |
| DOI: | |
| Abstract: | In recent times, the effectiveness of Machine Learning (ML) methods in crime prediction and forecasting has attracted considerable attention, captivating both researchers and practitioners in criminology. The heightened importance of evaluating criminal activities stems from the substantial risks they pose to national security and jurisdiction. This evaluation intricately relies on factors like time and location, leveraging spatial and temporal data for a comprehensive analysis. Traditional approaches, including paperwork, investigative judgments, and statistical analyses, often fall short in precisely predicting the time and location of crimes. To address this challenge, numerous research studies have explored crime prediction using machine learning techniques, commonly including methods like K-Nearest Neighbors (KNN), decision trees, random forest, among others. These advancements represent a significant shift, enhancing the efficiency and accuracy of predicted crime methodologies and introducing a more sophisticated, data-driven approach to crime analysis and prevention. |
| Keywords: | Crime Prediction, Machine Learning in Criminology, Crime Forecasting Spatial and Temporal Data Analysis, Predictive Policing, K-Nearest Neighbors (KNN) in Crime Prediction ,Decision Trees for Crime Analysis ,Random Forest in Crime Forecasting . |
| Cite Article: | "Analysis and Prediction of Crime Hotspots Areas", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.145 - 148, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401025.pdf |
| Downloads: | 000205416 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2401025
Registration ID:188890
Published In: Volume 9 Issue 4, January-2024
DOI (Digital Object Identifier):
Page No: 145 - 148 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401025 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401025 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||