Distributed data association rule mining: Tools and techniques

Manoj Kumar Sethi, Rajni Jindal · International Conference on Computing for Sustainable Global Development · 2016

Distributed data mining (DDM) has become important research area with the increase in large distributed transactional databases and need to investigate important patterns in such databases. DDM may increase the processing capabilities but it increases communication and storage cost. Many algorithms and tools for mining association rules in distributed databases are proposed in literature. This paper illustrates some of the DDM algorithms and also tools proposed in literature for mining association rules in the distributed environment.

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