How to improve the efficiency of association rule mining algorithms What are parallel and distributed approaches for association rule mining

Nov 27, 2023 ... ... association rule mining. Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal. Overview. 8 Scopus ... Nov 9, 2022 ... ... Association Rule Analysis to detect Human Suicidal Behaviour'. Together they form a unique fingerprint. Association Rule Analysis Keyphrases 100 ... Our research introduces a groundbreaking methodology called Fuzzy Association Rule Mining (FARM), combining fuzzy set theory with traditional Association Rule ... Feb 25, 2013 ... Association rule mining is a computationally expensive task. Despite the huge processing cost, it has gained tremendous popularity due to ... This research proposes a combination of principal components analysis (PCA) with classification and association rule mining algorithms to extract features Last Updated on julio 7, 2023. Effective July 16, 2023, the Department of Savings and Mortgage Lending adopts rules (regulations) governing the regulation ... Rule generation is a common task in the mining of frequent patterns. An association rule is an implication expression of the form X→Y, where X and Y are ... Jul 29, 2009 ... Abstract. Privacy preserving association rule mining has been an active research area since recently. To this problem, there have been two ... Association rule learning ... Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large ... The American Bar Association Rule of Law Initiative works to strengthen legal institutions, support legal professionals, foster respect for human rights, ...