DocumentCode :
2002110
Title :
ExtMiner: combining multiple ranking and clustering algorithms for structured document retrieval
Author :
Nurminen, Miika ; Honkaranta, Anne ; Kärkkäinen, Tommi
Author_Institution :
Fac. of Inf. Technol., Jyvaskyla Univ., Finland
fYear :
2005
fDate :
22-26 Aug. 2005
Firstpage :
1036
Lastpage :
1040
Abstract :
This paper introduces ExtMiner, a platform and potential tool for information management in SMEs (small & medium-size enterprise), or for organizational workgroups. ExtMiner supports interactive and iterative clustering of documents. It provides users with a visual cluster and list views at the same time, supporting iterative search process. ExtMiner may also be applied as a platform for research on retrieval fusion, since it combines search, clustering and visualization algorithms. ExtMiner was evaluated with three document collections. Although the findings were encouraging the user interface and performance with large document repositories need further development.
Keywords :
data mining; document handling; information retrieval; pattern clustering; small-to-medium enterprises; user interfaces; ExtMiner; SME; document clustering; information management; iterative search process; multiple ranking; organizational workgroup; retrieval fusion; small-medium size enterprise; structured document retrieval; user interface; visualization algorithm; Clustering algorithms; Information management; Information retrieval; Information technology; Iterative algorithms; Search engines; Text mining; Visualization; Web search; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
ISSN :
1529-4188
Print_ISBN :
0-7695-2424-9
Type :
conf
DOI :
10.1109/DEXA.2005.91
Filename :
1508411
Link To Document :
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