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
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;
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
Print_ISBN :
0-7695-2424-9
DOI :
10.1109/DEXA.2005.91