Liu, XiyuZhao, YuzhenSun, Minghe2023-04-032023-04-032017-02-19Liu, X., Zhao, Y., & Sun, M. (2017). An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors. Discrete Dynamics in Nature and Society, 2017, 6978146. doi:10.1155/2017/69781461607-887Xhttps://doi.org/10.1155/2017/6978146https://hdl.handle.net/20.500.12588/1802Apriori 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.en-USAttribution 3.0 United Stateshttp://creativecommons.org/licenses/by/3.0/us/Article