An Efficient Mining Approach of Frequent Data Item Sets on Large Uncertain Databases

Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Data Management
Format: PDF
Mining frequent items from large uncertain database is a crucial issue, according to the accuracy, performance and computational cost, where the authors need the frequent itemset is ascertained efficiently and accurately with low computational cost and high performance in detecting Probabilistic Frequent Item (PFI), so all of these factors are the required or recommended in a large uncertain database to extract the frequent items efficiently and accurately. In uncertain database the support of an item occurs randomly instead of fixed variable.

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