International Journal of Innovative Science Engineering and Technology (IJISET)
There has been a recent surge in work with mining frequent pattern from the dynamic database. In dynamic database where new transaction are inserted frequently. Mining frequent pattern from the dynamic database requires rescanning the database which increases the transaction cost and its time. This paper is concerned with extracting useful information from dynamic database with the help of probability based Incremental database discovery. This paper uses the probability to find out expected frequent Itemsets which reduces the time to scan the original database.