Title | ||
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An Application of Text Mining: Bibliographic Navigator Powered by Extended Association Rules |
Abstract | ||
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In this paper, we discuss the implementation and perfor- mance of our developed bibliographic navigator with the text mining. We categorize the different attributes and ex- tend the mining association algorithms and in order to pro- vide more helpful rules. By our proposed algorithm, more interesting rules are derived from relationships between several categorized attributes in bibliographic databases such as INSPEC. We also evaluate the performance of our proposed algorithms on our developing bibliographic navi- gator and discuss the improvements of our navigator. |
Year | Venue | Keywords |
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2000 | HICSS | data mining,association rule,text mining,information services,information retrieval systems |
Field | DocType | Citations |
Information system,Inspec,Text mining,World Wide Web,Information retrieval,Computer science,Association rule learning | Conference | 4 |
PageRank | References | Authors |
0.52 | 6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Minoru Kawahara | 1 | 17 | 7.06 |
Hiroyuki Kawano | 2 | 52 | 9.36 |