Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{142600,
        author = {Dr. M. Balamurugan and A. Nancy},
        title = {Performance Analysis of FPMining Algorithm Using Apriori on HealthCare Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {4},
        pages = {164-166},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142600},
        abstract = {frequent pattern mining is an essential data mining task, with a goal of discovering knowledge in the form of repeated patterns. Many efficient pattern mining algorithms have been discovered to enhance the performance of Apriori Algorithm, The purpose of these algorithms to determining the frequent pattern. The main issue for any algorithm is to reduce the Execution time. In this paper we compare the frequent pattern mining Algorithm.},
        keywords = {Apriori, Association rule, Frequent Patterns, Support, Memory Based},
        month = {},
        }