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Continuous Prediction of Closed Frequent Itemsets from High speed Distributed Data Streams using Parallel Mining on Manifold Windows with Varying Size
2014
International Journal of Computer Applications
Continuous prediction of closed frequent itemsets from high speed distributed data streams is an active research work, which is because of the conflict to the process time taken to perform mining consistent itemsets from current records and high alacrity transmission time in data streams. By the motivation gained from our earlier proposed models, here we devised a novel closed frequent itemset mining model for high speed distributed data streams. The said model is referred as Parallel Closed
doi:10.5120/17662-8479
fatcat:ykuilwrrpfbqbipdnivignntx4