For any power system, the reliability of measurement data is essential in operation, management and also in planning. However, it is inevitable that the measurement data are prone to outliers, which ...

Association rule learning is a type of unsupervised learning technique that checks for the dependency of one data item on another data item and maps accordingly so that it can be more profitable. It ...

Association Rule learning is a rule-based machine learning technique which is used to find interesting relationships and associations hidden in large data-sets. This rule shows how frequently an ...

Abstract: In association analysis, mining the continuous attributes may reveal useful and interesting insights about the data objects which are of continuous attributes. Quantitative association rules ...

Abstract: The effectiveness and the robustness of the existing association rule mining algorithms provides a huge number of high quality rules that the user can not understand. Consequently, thinking ...