So we proposed a new algorithm (GMA) which based on association graph and matrix pruning to reduce the amount of candidate itemsets. Experimental results show ...
Abstract—Association rule mining is a very important research topic in the field of data mining. Discovering frequent itemsets is.
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Oct 22, 2024 · Algorithms based on matrix are efficient due to only scanning the transaction database for one time. In this paper, an algorithm of association ...
An Effective Algorithm Based on Association Graph and Matrix for Mining Association Rules ; Image mining using association rules derived from feature matrix.
The apriori algorithm is a fast algorithm for mining association rules and is based on ... An Effective Algorithm Based on Association Graph and Matrix for Mining ...
Sep 15, 2022 · A proposed graph-based approach using association rule mining to detect influential users in social networks.
This work proposes a graph-based approach to generate various types of association rules from a large database of customer transactions, and shows that its ...
Experimental results show that this algorithm can quickly discover frequent itemsets and effectively mine potential association rules. Keywords: Data mining, ...
Missing: Graph | Show results with:Graph
Aug 23, 2022 · The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, ...
An algorithm is proposed for mining multilevel association rules using Boolean Matrix based approach to discover frequent itemsets, the item forming a rule ...