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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

A New Improved Aprior Algorithm in Big Data Environment

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DOI: 10.25236/iceeecs.2018.021

Author(s)

Zhou Bei

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.