Optimization of Apriori algorithm based on parallel MapReduce in cloud computing environment
Li Li · Automation and Instrumentation · 2014
Based on the characteristics of MapReduce model running in parallel, consider poor scalability characteristics of conventional and traditional Apriori algorithm, this paper adoptes a of cheap computing power handling and association rule mining algorithm, Improves Apriori algorithm to improve operational efficiency. By improving the environment in the cloud MapReduce programming framework, and combined with MR-Apriori algorithm validation experiments, MR-Apriori algorithm for parallel improvements, the traditional Apriori mining to resolve the problems encountered, implemented based on MapReduce parallel Apriori algorithm is highly scalable, and shows the element technology combined with the likelihood of association rule mining algorithm.