Patterns from Crime Data Using Candidate Generation Approach


Authors : P. Prabakaran, Dr. K. Ramesh Kumar

Volume/Issue : Volume 2 - 2017, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/WyB4a4

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

The rule mining algorithm generates rules from frequent patterns which are mined from Tamil Nadu Theft Crime dataset. The various combinations of the rules which is produced by the rule mining algorithm may be efficient or inefficient. It is waste of time to run all the rules. So, in order to validate the most efficient rule, the proposed algorithm applied the existing support and confidence measures and additionally one more measure information gain to add more values to the rule generation and validation. The proposed Theft Pattern Mining algorithm is adapted with the Improved Rule Mining algorithm and it is applied to the Tamil Nadu Theft Crime dataset.

Keywords : Data Mining, Rule Mining, Pattern Mining Algorithm, IRM, TPM

CALL FOR PAPERS


Paper Submission Last Date
31 - December - 2020

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe