Mining protein data using parallel/distributed association rules

Data Mining is used to extract the hidden information from large amount databases. Parallel/distributed computing is used which achieves scalability and improves the performance of compute intensive algorithms. A parallel version of ITL-Mine algorithm is proposed and implemented on distributed memory (shared nothing) architecture. The parallel ITL-Mine algorithm achieved the reduction of the execution time because of the distribution of the data over the processors where each processor worked on its data and communicates with other processors to complete its work. The proposed ITL-mine algorithm can be used in other data mining task such as sequential patterns, max-patterns and frequent closed patterns, classification and clustering.