A New Improved Aprior Algorithm in Big Data Environment
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DOI: 10.25236/iceeecs.2018.021
Corresponding Author
Zhou Bei
Abstract
This is an improvement in the deficiency of the Apriori algorithm, and the genetic algorithm and the technique of partitioning, to establish a pattern of association rules, and to increase the efficiency and accuracy of the algorithm, and in the process of improvement, the proposed solutions to the coding and the fitness function are proposed, and by simulation, the improved Aprior algorithm has proven to be better than the performance of the Aprior algorithm on the big data mining.
Keywords
Apriori algorithm, genetic algorithm, partitioning technology, fitness function.