International Journal of Modern Engineering Research (IJMER)
The increase in huge amount of data is seen clearly in present days because of requirement for storing more information. To extract certain data from this large database is a very difficult task. This leads to the researchers to drag themselves for developing better technique to mine the required data. There are various techniques proposed by several researchers to deal with this difficulty. Among various available techniques, association rule mining for extract the required data from the database is found to be better. This paper presents the IMine index, a general and compact structure which provides tight integration of item set extraction in a relational DBMS Since no constraint is enforced during the index creation phase, IMine provides a complete representation of the original database.