Minimization of Association Rules Using Hybrid Algorithm
Preeti Rani1, Nidhi Tyagi2
1Preeti Rani, Department of Computer Science & Engineering, MIET Meerut (Uttar Pradesh), India.
2Nidhi Tyagi, Department of Computer Science & Engineering, MIET Meerut (Uttar Pradesh), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 106-111 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90390476C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Wal-Martsalesman [1] was trying to surge the sales data of the store by combining the commodities together and putting discounts on those products. To discover occasions and additional such goods that can be knotted collected, the sales man examined all sales archives. What he got to know was fascinating. Numerous clients who bought diapers also took beers. The 2goods are clearly distinct thus he found that nurturing kids is exhausting. And to release pain, guardian decided to buy beer. Data Mining, also known as Knowledge Discovery in Databases (KDD) [1], to find irregularities, associations, arrangements, and tendencies to forecast consequences. Apriori algorithm is a standard process in data mining. It is utilised for mining recurrent sets of items and related association rubrics. It is formulated to work on a database comprising of a lot of transactions. It is very vital for operative Market Basket Investigation and this assistance the patrons in buying their substances with more effortlessness which escalates the sales of the markets. While finding goods to be associated together, it is imperative to have some association on which the commodities can be listed together. But this task comes with a drawback because it ends up in so many association rules. In this research work a hybrid method has been proposed to minimize association rules using optimization algorithm Differential Evolution with Apriori Algorithm.
Keywords: Apriori Algorithm, Genetic Algorithm (GA), Differential Evolution (DE), Optimization Algorithm, Data Mining, Association Rules.
Scope of the Article: Algorithm Engineering