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» Crossover in Probability Spaces
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104
Voted
WWW
2008
ACM
16 years 1 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 25 days ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
94
Voted
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 25 days ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
123
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 24 days ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
94
Voted
HPCA
2005
IEEE
16 years 23 days ago
Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture
This paper studies the impact of L2 cache sharing on threads that simultaneously share the cache, on a Chip Multi-Processor (CMP) architecture. Cache sharing impacts threads non-u...
Dhruba Chandra, Fei Guo, Seongbeom Kim, Yan Solihi...