An Association Rrule Data Classification with Optimization

Extracting collection reserve foreign statistics is a banderole nomination of observations mining and is gaining considerable attention in recent years. In process filtering and Data Classification data mining plays a role of key player. The use of Data mining as a process filtering technique is used in this paper for calculating the support value of the datasets. After calculating the support value the optimization technique is applied we in our case has used Ant Colony Optimization technique to find the highest threshold value by going through several iterations. By calculating through several iteration we get negative and positive association and our negative and positive association based classification improves efficacy of the result and shows the effectiveness of the approach used. KeywordsAssociation Rule Mining, Positive Association, Negative Association, Optimization