How can domain experts collaborate with data mining practitioners to extract valuable insights from association rules

PDF | Many algorithms have proposed to solve the association rule learning problem. However, most of these algorithms suffer from the problem of. This paper presents a literature review to identify the newest and most cited ARM algorithms and techniques suitable for EA mining May 2, 2016 ... In this paper, we focus on privacy-preserving mining on vertically partitioned databases. In such a scenario, data owners wish to learn the association rules ... The ability to customize a mass product is one solution for the survival of the industry in today's global competition. Hence, understanding what users ... Apr 9, 2023 ... Association rule mining serves as a powerful tool for uncovering hidden patterns and relationships within datasets. Our research introduces a groundbreaking methodology called Fuzzy Association Rule Mining (FARM), combining fuzzy set theory with traditional Association Rule ... Apr 27, 2020 ... A two-level taxonomy is proposed according to whether the time variable is considered to provide order to the data collection and to locate some temporal ... Use an Association rule to define a relationship between two classes based on matching values in pairs of properties. Title: Distributed Association Rule Mining. Researcher: Sawant Vinaya Mahesh. Guide(s):, Ketan Shah. Keywords: Engineering Engineering and Technology Jun 16, 2010 ... Association rule mining is used to find the patterns in data.it finds the features which occur together and correlated.