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» Clustering performance data efficiently at massive scales
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ICML
2007
IEEE
16 years 1 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
WWW
2011
ACM
14 years 7 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
108
Voted
EUROPAR
2008
Springer
15 years 2 months ago
Efficient Management of Complex Striped Files in Active Storage
Abstract. Active Storage provides an opportunity for reducing the bandwidth requirements between the storage and compute elements of current supercomputing systems, and leveraging ...
Juan Piernas, Jarek Nieplocha
94
Voted
HICSS
2010
IEEE
208views Biometrics» more  HICSS 2010»
15 years 7 months ago
Using Personality Factors to Predict Interface Learning Performance
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Tera Marie Green, Dong Hyun Jeong, Brian Fisher
107
Voted
TPDS
2002
173views more  TPDS 2002»
15 years 9 days ago
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...