How to identify and avoid spurious association rules

This research proposes a combination of principal components analysis (PCA) with classification and association rule mining algorithms to extract features Archer demonstrates that memory in mobile devices should be compressed using flexible granularity, rather than relying solely on traditional page compression. May 20, 2024 ... Bootstrapped Association Rule Mining in R. Association rule mining is a machine learning technique designed to uncover associations between ... We present a framework for efficient human-in-the-loop construction of a schema library, based on a novel script induction system and a well-crafted interface. Aug 12, 2023 ... Association Rule Mining is a data mining technique that aims to find associations, relationships and patterns between items in data sets. Feb 13, 2025 ... This study aimed to investigate and visualize the precise patterns of LN metastases in patients with ESCC, which is prevalent in East Asia 11 , using network ... ABA ROLI implements legal reform programs in more than 50 countries in Africa, Asia, Europe and Eurasia, Latin America and the Caribbean, and the Middle East ... Jun 13, 2023 ... Class Association Rule Models for Predicting Transportation Mode Choice. [Phd Thesis 1 (Research TU/e / Graduation TU/e), Built Environment] ... With the induction of frequent item sets and association rules one tries to find sets of products that are frequently bought together, so that from the presence ... Nov 29, 2023 ... In this paper, Enhanced Elephant Herding Optimization Algorithm for Association Rule Hiding (EEHOA4ARH) is proposed for association rule hiding.