Results 11 to 20 of about 25,851 (312)
Weighted Association Rule Mining using Weighted Support and Significance Framework [PDF]
, 2003 We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to
Feng Tao +5 more
core +1 more source
A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
core +1 more source
Mining Clusters with Association Rules [PDF]
, 1999 In this paper we propose a method for extracting clusters in a population of customers, where the only information available is the list of products bought by the individual clients. We use association rules having high confidence to construct a hierarchical sequence of clusters.
Walter A. Kosters +2 more
openaire +1 more source
CoRR, 2022 Graph association rule mining is a data mining technique used for discovering regularities in graph data. In this study, we propose a novel concept, {\it path association rule mining}, to discover the correlations of path patterns that frequently appear in a given graph.
openaire +2 more sources
Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records [PDF]
, 2023 In this paper, we propose utilising Electronic Health Records (EHR) to discover previously unknown drug-drug interactions (DDI) that may result in high rates of hospital readmissions.
Chahed, S. +4 more
core +1 more source
A Technique to Association Rule Mining on Multiple Datasets
Journal of Advances in Information Technology, 2014 This research aims at studying the method for association rule mining on multiple datasets. Current with technology and information systems enabling agencies or organization has a data-storage system, but the problem is that those with a larger data set,
Nuntawut Kaoungku +2 more
doaj +1 more source
Modified Genetic Algorithm and Association Rule Mining for the Retail Sector
Journal of Information Systems and Informatics, 2023 This paper concentrates on the optimization of elementary association rule mining. The basic approach of association rule mining generates the positive association rule but focusing on both positive and negative association rule mining to find out ...
Piyush Vyas, Aditya Nagdiya
doaj +1 more source
Evolving temporal association rules with genetic algorithms [PDF]
, 2010 A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining, we show the efficacy of extending this to another variant - temporal ...
Gongora, Mario A. +6 more
core +1 more source
Web Usage Mining with Evolutionary Extraction of Temporal Fuzzy Association Rules [PDF]
, 2013 In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the
Gongora, Mario A. +5 more
core +1 more source
A new rule pruning text categorisation method [PDF]
, 2010 Associative classification integrates association rule and classification in data mining to build classifiers that are highly accurate than that of traditional classification approaches such as greedy and decision tree.
Hadi, Wa'el +9 more
core +1 more source