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Article
Open AccessMulti-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach
Recently, association rule mining plays a vital role in knowledge discovery in database. In fact, in most cases, the real datasets lead to a very large number of rules, which do not allow users to make their o...
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Article
Open AccessAn improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety
Road accidents have come to be considered a major public health problem worldwide. The aim of many studies is therefore to identify the main factors contributing to the severity of crashes.
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Article
Open AccessMining and prioritization of association rules for big data: multi-criteria decision analysis approach
Data mining techniques and extracting patterns from large datasets play a vital role in knowledge discovery. Most of the decision makers encounter a large number of decision rules resulted from association rul...
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Chapter and Conference Paper
A Web-Based Platform for Mining and Ranking Association Rules
In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules. We first use association rules techniques to explore the correlations between v...
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Article
Open AccessToward efficient resource utilization at edge nodes in federated learning
Federated learning (FL) enables edge nodes to collaboratively contribute to constructing a global model without sharing their data. This is accomplished by devices computing local, private model updates that a...
