• Shiwali Latiyar
• Jitendra Agrawal

Association rule mining may be a crucial and area of the data mining methodology. It aims at finding some hidden information or relationships among the attributes of the data. Association rule mining may be a stimulating area of data mining analysis that discovers correlations between wholly different item sets throughout event information. To enhance the efficiency and accuracy of the proposed work this is incorporating additional measures in simple Genetic Algorithmic rule for such data processing issues. We have used Genetic algorithmic rule to optimize the generated rules and take fitness operate for the improvement and realize the optimum solutions. To compare these two implementations on the generation and fitness they needed in proposed work.

Mining, Apriori Algorithm, Association Rule

"Optimize Association Rules using Evolutionary Algorithm generated by Apriori Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.305-308, September-2018, Available :http://www.jetir.org/papers/JETIR1809194.pdf

"Optimize Association Rules using Evolutionary Algorithm generated by Apriori Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp305-308, September-2018, Available at : http://www.jetir.org/papers/JETIR1809194.pdf