Novel parallel method for mining frequent patterns on multi-core shared memory systems
DISCS-2013 Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems
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This paper mainly focuses on the need, merits, demerits and designing of different Sequential, Parallel and Distributed ARM algorithms developed so far on different hardware platforms and categorising them according to database format used, search techniques used and whether they find all or maximal frequent item sets. The goal of this survey is to provide information that serve as a reference for both the researchers and practitioners interested in the designing and implementation of ARM algorithms that has high performance in terms of response time and the ability to scale massive data sets with minimum communication overheads, privacy and security, which is the requirement of today’s world.