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» Adaptive K-Means Clustering
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HPDC
2007
IEEE
15 years 1 months ago
MOB: zero-configuration high-throughput multicasting for grid applications
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
Mathijs den Burger, Thilo Kielmann
SPIESR
2001
174views Database» more  SPIESR 2001»
14 years 11 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
BMCBI
2006
153views more  BMCBI 2006»
14 years 9 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...
CORR
2004
Springer
208views Education» more  CORR 2004»
14 years 9 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
WWW
2011
ACM
14 years 4 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii