How to combine different interestingness measures

Abstract. Association rule mining (ARM) is a technique used to discover relationships among a large set of variables in a data set. It has been applied to ... Feb 25, 2013 ... Association rule mining is a computationally expensive task. Despite the huge processing cost, it has gained tremendous popularity due to ... We used an association rule algorithm combined with network analysis and found useful and informative relationships between the symptoms and medicines. Dec 15, 2021 ... One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the ... Apr 17, 2025 ... What Is Association Rule Mining? Association rule mining in data mining is an unsupervised learning method that shows how different items or ... 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 ... ... association rule mining task to a federated cloud environment in a privacy ... association rules extracted from the aggregated encrypted databases to ... Jan 1, 2019 ... Association Rule Mining (ARM) is a fundamental data mining task that is time-consuming on big datasets. Thus, developing new scalable ... Nov 12, 2020 ... Association rule mining data for census tract chemical exposure analysis ... Chemical concentration, exposure, and health risk data for U.S. ... 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 ...