Use of Domain Knowledge In University

Data mining is the process of extracting useful information from the huge amount of data stored in the databases. Data mining tools and techniques help to predict business trends those can occur in near future. Association rule mining is an important technique to discover hidden relationships among items in the transaction. In this Work Apriori, Apriori with Domain Knowledge, partitioning and sampling algorithms have been implemented and their performance is evaluated extensively. Apriori algorithm is implemented using K-Way join approach for support counting. Partitioning approach is implemented in the traditional In the case of sampling algorithm the dataset is first partitioned into a number of given partitions and then algorithm is applied by considering one partition as a sample.