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£112.61
Springer Clustering and Information Retrieval - Book 11
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Description
Key Features
Covers fundamental clustering algorithms and methodologies for discovering dense data sub-regions.
Explains practical applications in information retrieval such as query expansion and document grouping.
Provides technical details on document indexing and the visualization of search results.
Includes specialized content on clustering methods for general metrics by Baeza-Yates et al.
Discusses various architectures and evaluation methodologies for information retrieval systems.
Part of the Network Theory and Applications series, volume 11, published by Springer.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 1402076827
- Domain
- Amazon UK
- Release Date
- 30 November 2003
- Listed Since
- 22 December 2006
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