Siersdorfer et al., 2004 - Google Patents
Restrictive clustering and metaclustering for self-organizing document collectionsSiersdorfer et al., 2004
View PDF- Document ID
- 18051637850323968440
- Author
- Siersdorfer S
- Sizov S
- Publication year
- Publication venue
- Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
External Links
Snippet
This paper addresses the problem of automatically structuring heterogenous document collections by using clustering methods. In contrast to traditional clustering, we study restrictive methods and ensemble-based meta methods that may decide to leave out some …
- 238000000034 method 0 abstract description 13
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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