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ExtMiner: Combining Multiple Ranking and Clustering Algorithms for Structured Document Retrieval

M. Nurminen, A. Honkaranta, and T. Kärkkäinen. International workshop on Integrating Data Mining, Databases and Information Retrieval (IDDI'05), Proceedings of the 16th International Workshop on Database and Expert Systems Applications , page 1036-1040. IEEE Computer Society, (2005)

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.

Links and resources

URL:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1508411
BibTeX key:
nurminen05extminer
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