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Experimental Analysis on Predicting Customer Purchase Pattern using Data Mining Algorithm

Author Name : Usha Gill, Yatin Chopra

In this Paper, we develop a new technique for more efficient frequent item set mining. Our method scans the database only one time where as the previous algorithms scans the database more than one time.
In this way our proposed algorithm will reduce the complexity of frequent pattern mining. We present efficient techniques to implement the new approach.
Keywords: data mining, predicting, customer, purchase, pattern.