Applying Association Rule Discovery to Select Laws and Articles for Lawsuit
Kitsana Waiyamai, Teerawat Pongsiripreeda · Pacific Asia Conference on Information Systems · 2005
Data Classification and Association Rule Discovery are two important data mining techniques. In this paper, we apply the two techniques to find appropriate laws and articles for lawsuits. We propose a data classification method using a classifier generated from association rule discovery technique. We utilize the classifier to help selecting laws and articles to be tried for a lawsuit. Our experiment shows that the classifier generated from a proposed method yields better accuracy than one generated from a general data classification method. In addition, our method increases efficiency in multi-group and multilevel classification.