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» High Performance Reasoning with Very Large Knowledge Bases
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VLDB
1999
ACM
224views Database» more  VLDB 1999»
15 years 1 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim
80
Voted
ATAL
2003
Springer
15 years 2 months ago
A protocol for multi-agent diagnosis with spatially distributed knowledge
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Nico Roos, Annette ten Teije, Cees Witteveen
SIGIR
2005
ACM
15 years 3 months ago
A geometric interpretation of r-precision and its correlation with average precision
We consider two of the most commonly cited measures of retrieval performance: average precision and R-precision. It is well known that average precision and R-precision are highly...
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
WWW
2010
ACM
15 years 4 months ago
Mind the data skew: distributed inferencing by speeddating in elastic regions
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
Spyros Kotoulas, Eyal Oren, Frank van Harmelen
OTM
2010
Springer
14 years 7 months ago
Analysis of the Performance-Influencing Factors of Virtualization Platforms
Abstract. Nowadays, virtualization solutions are gaining increasing importance. By enabling the sharing of physical resources, thus making resource usage more efficient, they promi...
Nikolaus Huber, Marcel von Quast, Fabian Brosig, S...