A Survey of Distributed Association Rule Mining Algorithms

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Provided by: Journal of Computing
Topic: Data Management
Format: PDF
Association rule mining is a popular and well researched method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using different measures of interestingness. Most ARM algorithms focus on a sequential or centralized environment where no external communication is required. Distributed ARM algorithms, aim to generate rules from different data sets spread over various geographical sites; hence, they require external communications throughout the entire process. Distributed ARM is one of the major research fields of Data Mining (DM).
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