What are the advantages of using logic-based approaches for association rule mining

Jan 1, 2019 ... Association Rule Mining (ARM) is a fundamental data mining task that is time-consuming on big datasets. Thus, developing new scalable ... Mar 25, 2021 ... Crokinole's Most Confusing Rule Explained (Official National Crokinole Association Ruling) ... Association Ruling). 36K views · 4 years ago A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction. Publication , Journal Article. Association rule mining and regression support to analysis of dravet syndrome data set. Researcher: DWARAKANATH, B. Guide(s):, RAMESH KUMAR, K. Keywords ... Evolutionary insights from association rule mining of co-occurring mutations in influenza hemagglutinin and neuraminidase. Mar 20, 2013 ... Rule mining has been an area of active research for the past couple of years. Some approaches mine association rules, some mine logical rules, ... Oct 15, 2019 ... The advantage of association rule mining is that it's 100% unsupervised. Most rules will not be interesting but some might be surprising and ... This article explains how to extract high-confidence rules, which are characterized by being true in a specified minimum percentage of the transactions being ... Aug 12, 2023 ... Association Rule Mining is a data mining technique that aims to find associations, relationships and patterns between items in data sets. An Association Rule associates the values of a given set of attributes with the value of another attribute from outside that set. In addition, the rule may ...