Implementation of K-Means Clustering Algorithm in the Crime Data Set
Abstract
Keywords
Full Text:
PDFReferences
MohammadReza Keyvanpour, Mostafa Javideh, Mohammad Reza Ebrahimi, “Detecting and Investigating Crime by Means Of Data Mining: A General Crime Matching Framework”, Procedia Computer Science, No. 3 (2011), 1877-0509, 2010, Elsevier, Pp. 872–880.
ChhayaChauhan and SmritiSehga, “A Review: Crime Analysis Using Data Mining Techniques And Algorithms”,International Conference on Computing, Communication and Automation (ICCCA2017),DOI : 10.1016/j.procs.2010.12.143.
Sushanta Kumar P. Krishna Reddy V. Balakista Reddy Aditya Singh, “Similarity Analysis of Legal Judgments”, COMPUTE ’11, March, Bangalore, Karnataka, India Copyright 2011 ACM 978-1-4503-0750-5/11/03, Pp. 25-26.
Donald E. Brown and Rosemary B. Oxford,” Data Mining Time Series with Applications to Crime Analysis”, 0-7803-7087-2/01, Q 2001 IEEE, Pp.1453-1458.
Deepika K.K, Smitha Vinod, “Crime analysis in India using data mining techniques”, International Journal of Engineering & Technology, Vol 7 No. (2.6), 2018 Pp.253-258.
Shiju Sathyadevan, Devan M.S, , “Crime Analysis and Prediction Using Data Mining”, IEEE, First International Conference on Networks & Soft Computing, Pp.406-412, 2014.
Sotarat Thammaboosadee and Udom Silparcha, “A Framework for Criminal Judicial Reasoning System using Data Mining Techniques”.
Ubon Thongsatapornwatana, “A Survey of Data Mining Techniques for Analyzing Crime Patterns”, Second Asian Conference on Defence Technology, IEEE (ACDT), 978-1-5090-2258-8/16/2016.
Charles V. Trappey and Ai-Che Chang,” Analysis of IP-related court decisions using e-discovery – A case study of Apotex Pty. Ltd. v Sanofi-Aventis Australia Pty. Ltd. & Ors, Int. J. Intellectual Property Management”, Vol. 9, No. 1, 2016, Inderscience Enterprises Ltd., Pp. 16-31.
Mugdha Sharma, “Z - CRIME: A Data Mining Tool for the Detection of Suspicious Criminal Activities Based on Decision Tree” IEEE,978–1–4799–4674–7/ 14, 2014.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.