Generating Optimized Association Rule for Big Data Using GA and MLMS

Authors

  • Sultana A Dept. of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India
  • Madhavi S Dept. of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, India

Keywords:

Association Rule, Apriori algorithm, Genetic algorithm, Hadoop, MapReduce

Abstract

For mining association rule different algorithms are used such as Apriori, tree based algorithm which take too much computerized time to accomplish all the frequent items. These obstacles are eliminated by using GA and MLMS and also improving the performance. In this method used a multi level minimum support of data table as 0 and 1. Genetic algorithm is indiscriminate search algorithm model based on natural selection, works in an iteration manner and is very adequate in large amount of data. Genetic algorithm is implemented in Hadoop to reduce computation cost. Hadoop supports for manipulating large data and operate them in parallel manner for better performance. The optimal frequent items are access that satisfies fitness, support and confidence.

References

Mohammed Al-Maolegi, Bassam Arkok, “An Improved Apriori Algorithm for Association Rules”, Int. Jounal on Natural Language Computing, Volume-03, No.1, Page No (21-29), February 2014.

Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, Partha Pratim Sarkar, “Mining Frequent Itemsets Using Genetic Algorithm”, Int. Journal of Artificial Intelligence and Applications, Volume-01, No.4, Page No (133-143), October 2010.

Nikky Suryawanshi Rai, Susheel Jain, Anurag Jain, “Mining Interseting Positive And Negative Association Rule Based On Improved Genetic Algorithm”, Int. Journal of Advanced Computer Science and Applications, Volume-05, No.1, Page No (160-165), 2014.

D. Kerana Hanirex and K.P. Kaliyamurthie, “Mining Frequent Itemsets Using Genetic Algorithm”, Middle-East Journal of Scientific Research, 19 (6), Page No (807-810), 2014.

Pratibha Bajpai, Dr. Manoj Kumar, “Genetic Algorithm- an Approach to Solve Global Optimization Problems”, Int. Jounal of Computer Science and Engineering, Volume-01, No-03, Page No (199-206).

Apache Hadoop, http://hadoop.apache.org/ , Monday, April 6, 2015.

Stephen Kaisler, Frank Armour, J. Alberto Espinosa, William Money, “Big Data: Issues and Challenges Moving Forward”, 46th Hawaii International Conference on System Sciences, Page No (995-1004), 2013.

Srinath Parera, Thilina Gunarathane, “Hadoop MapReduce Cook Book”, [PACKT] publishing, ISBN: 9781849517287, Page No (5-115), Jan 2013.

Apache HBase, http://hbase.apache.org/ , Friday, July 10, 2015.

Downloads

Published

2025-11-10

How to Cite

[1]
A. Sultana and S. Madhavi, “Generating Optimized Association Rule for Big Data Using GA and MLMS”, Int. J. Comp. Sci. Eng., vol. 3, no. 9, pp. 144–148, Nov. 2025.

Issue

Vol. 3 No. 9 (2015): IJCSE September Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.