Study on the Customer targeting using Association Rule Mining

Data mining is the process of discovering meaningful correlations, patterns and trends by sifting through large amounts of data stored in repositories. Data mining employs pattern

All association rule mining algorithms like apriori algorithm and fp-growth algorithms are using mainly two steps in extracting the association rule. 1) Generation of

The data mining model used in this study is the Knowledge discovery in Database

In this research, association rule mining is used to analyze technology integration and diversification in a firm level.. Data mining, which is referred to as

While adding data mining scores and predictive models directly in the database is beneficial, there is additional value to be gained by integrating data mining scoring inside the

applying data mining techniques. Three data mining techniques were applied, namely finding sequential patterns in the data, clustering analysis of the pattern, and

After studying the algorithm on Association Rule Mining using the APRIORI technique, it has been analyzed that this technique is useful for only small datasets ,on

Our research is a further step of the Tree Based Association Rule Mining (TBAR) algorithm, used in relational databases for finding the association rules .In