Abstrait

APPLICATIONS OF ASSOCIATION RULE MINING IN DIFFERENT DATABASES

Dr. M. Renuka Devi Mrs. A. Baby sarojini

Data mining uses expert methods and techniques to recognize trends and profiles hidden in data. Mining is an iterative process in a sequence. Data are comes from different sources such as different databases. Mining depends on databases. This research is for various association rule mining applications of different databases. There are different databases like large database, distributed database, medical database, relational database, spatial database. They are mined using in data mining techniques. For making decision association rule is most important. They are associated with association rule mining techniques.