To see, or not to see— is That the query?
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM
Generalization-based data mining in object-oriented databases using an object cube model
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
DANTE '99 Proceedings of the 1999 International Symposium on Database Applications in Non-Traditional Environments
Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
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Since 1995, we have been developing web search engine "Mondou" using data mining techniques (http://www.kuamp.kyoto-u.ac.jp/labs/ infocom/mondou/index_e.html) in order to discover the helpful information for web search operations. In our previous works, we focus on the computing cost to derive associative keywords, we propose the method to determine system parameters, such as Minsup and Minconf threshold values. Moreover we evaluate the ROC performance of derived keywords by weighted association algorithms. In this paper, we try to implement two kinds of Java applets in our Mondou system, such as ROC graph for selecting associative keywords and documents clustering. This visual interface shows characteristics of associative rules on the ROC graph with the Minsup values. It also provides the function of document clustering in order to visualize retrieved documents.