ROC performance evaluation of web-based bibliographic navigator using extended association rules

Abstract

It is very effective for search users to provide meaningful keywords which are derived by text mining algorithm. We are developing our search engine “Mondou” using weighted association rules, as the web-based intelligent database navigation system. In this paper, we focus on the computing cost to derive appropriate keywords, we carefully determine system parameters, such as Minsup and Minconf threshold values. In order to evaluate the performance and characteristics of derived rules, we use the techniques of ROC graph. We propose the ROC analytical model of our search system, and we evaluate the performance of weighted association rules by the ROC convex hull method. Especially, we try to specify the optimal threshold values to derive effective rules from INSPEC database, which is one of the huge bibliographic databases.