Association rule variation with respect to time
Monica H. Ou, Jérôme Maillot · 2012
Effective data mining techniques are crucial for analysing and extracting useful information from large datasets. The aim of this research is to investigate different techniques for detecting the variation in association rules over time. Analysing the rules instead of the large datasets allows one to have a better understanding of the overall trend of the entire database.