International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Optimization Of Association Rule By Mlms-Ga

SONALI P. MAHINDRE, DR. G. R. BAMNOTE

Abstract :

Association rule mining plays a very important role in various data mining process. The diversity of association rule mining spread in various field such as market bucket analysis, medical diagnose and share market prediction. Now a day’s various authors and researcher focus on validation of association rule mining. For the validation of association rule mining used various optimization algorithm are used such as genetic algorithm, ACO and particle of swarm optimization also used. Some authors used trigonometric functions for validation of rule such functions are monotonic and non-monotonic. In the continuity of these used sine and cosine based constraints function. The sine and cosine functions work in certain range of interval. For the selection validation of these function used genetic algorithm. Genetic algorithm is very famous optimization technique in association rule mining. Multiple constraints and meta-heuristic function play major role in efficient association rule mining technique. The multiple constrains applied in form of inbound and outbound condition and valued the rule for real time database. Meta-heuristic function applied by many researchers in current research trend in data mining for pattern and rule extraction. These functions optimized rule and reduce the rules of redundancy for association rule mining.

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