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Abstract: The current trust network evaluation models are mainly based on nodes' behavior, multi-attribute decision-making method or nodes' reputation.
This paper proposes a rule extraction algorithm based on inclusion to improve the effectiveness and accuracy of rule set matching. Experimental results show ...
The network dynamic evaluation is in the proven prescription legal science has truthfully given the trusted degree of the network from the real network to the ...
... algorithm for finding dense regions for mining quantitative association rules. ... Extracting Useful Knowledge from Volumes of Data. Communications of the ...
Dec 15, 2023 · Association rule mining is intended for searching for the relationships between attributes in transaction databases. The whole process of ...
Trust Evaluation Algorithm based on Association Rule Extraction · DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet ...
Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces a number of severe issues such as lack of essential ...
The paper provides a short description of the principles and algorithms of interaction, several of the implementations. Algorithms are present and evaluate base ...
Apr 21, 2022 · A modified script-based associative rule extraction algorithm is used to find the correlation between the quality and the ability of college students.
Missing: Trust | Show results with:Trust
Jun 24, 2023 · In this paper, we proposed the use of association rules to select features from medical data, which result in dimensionality reduction of the input feature ...