ExtMiner: combining multiple ranking and clustering algorithms for structured document retrieval Export

@inproceedings{citeulike:3207902, 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.}, author = {Nurminen, M. and Honkaranta, A. and K\"{a}rkk\"{a}inen, T.}, citeulike-article-id = {3207902}, citeulike-linkout-0 = {http://dx.doi.org/http://dx.doi.org/10.1109/DEXA.2005.91}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/DEXA.2005.91}, doi = {http://dx.doi.org/10.1109/DEXA.2005.91}, journal = {Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on}, keywords = {ir-ranking, mining-clustering, xml}, pages = {1036--1040}, posted-at = {2008-09-09 06:40:34}, priority = {2}, title = {ExtMiner: combining multiple ranking and clustering algorithms for structured document retrieval}, url = {http://dx.doi.org/http://dx.doi.org/10.1109/DEXA.2005.91}, year = {2005} }

TY - CONF ID - citeulike:3207902 L3 - citeulike-article-id:3207902 N2 - 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. JF - Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on EP - 1040 TI - ExtMiner: combining multiple ranking and clustering algorithms for structured document retrieval SP - 1036 KW - ir-ranking KW - mining-clustering KW - xml AU - Nurminen, M AU - Honkaranta, A AU - Kärkkäinen, T PY - 2005/// UR - http://dx.doi.org/http://dx.doi.org/10.1109/DEXA.2005.91 ER -