EXECUTION OF ASSOCIATION RULE MINING WITH DATA GRIDS IN WEKA 3.8

Authors

  • Kirti Rathi (Research Scholar, M.Tech. (CSE)) Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, Haryana (India)
  • Dr. Kanwal Garg Supervisor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, Haryana (India)

Keywords:

Grid Computing, Association Rule Mining, Apriori Algorithm, WEKA 3.8, Visualization Tools

Abstract

The premise of this paper is to discover frequent patterns by the use of data grids in WEKA 3.8 environment. Workload imbalance occurs due to the dynamic nature of the grid computing hence data grids are used for the creation and validation of data. Association rules are used to extract the useful information from the large database. In this paper the researcher generate the best rules by using WEKA 3.8 for better performance. WEKA 3.8 is used to accomplish best rules and implementation of various algorithms.

Additional Files

Published

07-10-2023

How to Cite

Kirti Rathi, & Dr. Kanwal Garg. (2023). EXECUTION OF ASSOCIATION RULE MINING WITH DATA GRIDS IN WEKA 3.8. International Educational Applied Scientific Research Journal, 2(5). Retrieved from https://ieasrj.com/journals/index.php/ieasrj/article/view/38

Issue

Vol. 2 No. 5: MAY ISSUE, INTERNATIONAL EDUCATIONAL APPLIED SCIENTIFIC RESEARCH JOURNAL

Section

Articles