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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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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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Chapter
Fuzzy Set Theory-Based Approach for Mining Spatial Association Rules: Road Accident as a Case Study
Despite intensive research over the last decades in spatial data mining, a considerable amount of collected data brings new challenges to the extraction of spatial association rules. Notwithstanding, associati...
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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...