International Journal of Engineering Trends and Technology
Data mining is an increasingly important technology for extracting useful knowledge hidden in large collections of data. The proposed work presents the design of mining frequent items from dataset. The mining approach is hybrid, that is, frequent items are calculated with a single pass, while frequent item sets are calculated by a further multi-pass analysis. Frequent items mining is to process a stream of items and find all items occurring more than a given fraction of the time. In particular, data stream analysis has been carried out for the computation of items and item sets that exceed a frequency threshold.