International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Association Rule Mining Using Genetic Algorithm

Devyani Parate, Bharti Shende, Tinal Ganeshkar, Pratiksha Meshram, Megha Gaikwad, Tejasvi Moon

Abstract :

Association Rule Mining is the main curiosity area for plenty of researchers for many years. It is the backbone of data mining. Relationships are discovered among different items in the Database. In this paper proposed IMLMS-GA association rule mining based on min-max algorithm and MLMS formula. In this method we used a multi-level multiple support of data table as 0 and 1. The divided process reduces the scanning time of database. The proposed algorithm is a combination of MLMS and min-max algorithm. Support length key is a vector value given by the transaction data set.

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