Paper Info
Title
Mondou: Information Navigator with Visual Interface
Abstract
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.
Year
DOI
Venue
2000
10.1007/3-540-44466-1_43
DaWaK
Keywords
Field
DocType
web search operation,minsup value,roc graph,system parameter,associative keyword,information navigator,associative rule,roc performance,mondou system,java applets,web search engine,visual interface,document clustering,java applet,association rule,data mining
Web search engine,Data mining,Graph,Visual interface,Associative property,Information retrieval,Document clustering,Computer science,Association rule learning,Java applet,Cluster analysis,Database
Conference
Volume
ISSN
ISBN
1874
0302-9743
3-540-67980-4
Citations 
PageRank 
References 
2
0.40
10
Authors
2
Name
Order
Citations
PageRank
Hiroyuki Kawano1529.36
Minoru Kawahara2177.06