1293 search results - page 114 / 259 » Scalability Study of the KSR-1 |
320
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ICDE
2003
IEEE
16 years 7 months ago
2003
IEEE
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
373
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ICDE
1999
IEEE
16 years 7 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
177
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
159
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SIGSOFT
2006
ACM
16 years 7 months ago
2006
ACM
It is usually assumed that the implementation of exception handling can be better modularized by the use of aspectoriented programming (AOP). However, the trade-offs involved in u...
166
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...