An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases

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Provided by: Journal of Universal Computer Science
Topic: Big Data
Format: PDF
In the past, many algorithms have been proposed for mining association rules from binary databases. Transactions with the quantitative values are, however, also commonly seen in real-world applications. Each transaction in a quantitative database consists of items with their purchased quantities. The Multiple Fuzzy Frequent Pattern tree (MFFP-tree) algorithm was thus designed to handle a quantitative database for efficiently mining complete fuzzy frequent itemsets. It however, only processes a database for mining the desired rules.
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