An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors

Xiyu Liu, Yuzhen Zhao and Minghe Sun

Discrete Dynamics in Nature and Society, 2017, vol. 2017, 1-11

Abstract:

Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data. In this work, a fast Apriori algorithm, called ECTPPI-Apriori, for processing large datasets, is proposed, which is based on an evolution-communication tissue-like P system with promoters and inhibitors. The structure of the ECTPPI-Apriori algorithm is tissue-like and the evolution rules of the algorithm are object rewriting rules. The time complexity of ECTPPI-Apriori is substantially improved from that of the conventional Apriori algorithms. The results give some hints to improve conventional algorithms by using membrane computing models.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:6978146

DOI: 10.1155/2017/6978146

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