About this document
Targeted Sequential Rule Mining (TaSRM) by lanhdiennhan2009 is a document available to read on EtoBox.
The paper introduces targeted sequential rule mining (TaSRM), a novel approach aimed at efficiently discovering sequential rules that are of interest to users while minimizing irrelevant rule generation. The authors define target sequential rules, propose an efficient algorithm with several pruning strategies, and demonstrate its effectiveness through extensive experiments. TaSRM outperforms existing algorithms in terms of running time, memory consumption, and scalability across various datasets.
- Author
- lanhdiennhan2009
- Language
- EN