-
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...
-
Article
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling
Accurate prediction of cutting forces is critical in milling operations, with implications for cost reduction and improved manufacturing efficiency. While traditional mechanistic models provide high accuracy, ...
-
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...
-
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...
-
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...
-
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.
-
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...
