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90
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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 1 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
CORR
2010
Springer
153views Education» more  CORR 2010»
14 years 11 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
133
Voted
ICC
2008
IEEE
137views Communications» more  ICC 2008»
15 years 6 months ago
On the Effect of Localization Errors on Geographic Routing in Sensor Networks
—Recently, network localization systems that are based on inter-node ranges have received significant attention. Geographic routing has been considered an application which can u...
Bo Peng, Rainer Mautz, Andrew H. Kemp, Washington ...
80
Voted
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 2 days ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
93
Voted
DASFAA
2005
IEEE
166views Database» more  DASFAA 2005»
15 years 5 months ago
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions
Medicine Paring Analysis is one of the most important tasks in the research of Traditional Chinese Medicine Prescriptions. The most essential and difficult step is to mine associat...
Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yo...