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ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
14 years 3 months ago
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
Recently, there has been considerable interest in computing strongly correlated pairs in large databases. Most previous studies require the specification of a minimum correlation...
Hui Xiong, Mark Brodie, Sheng Ma
FOCS
2002
IEEE
14 years 2 months ago
Minimizing Congestion in General Networks
A principle task in parallel and distributed systems is to reduce the communication load in the interconnection network, as this is usually the major bottleneck for the performanc...
Harald Räcke
ICDCS
2010
IEEE
14 years 28 days ago
A Spinning Join That Does Not Get Dizzy
— As network infrastructures with 10 Gb/s bandwidth and beyond have become pervasive and as cost advantages of large commodity-machine clusters continue to increase, research and...
Philip Werner Frey, Romulo Goncalves, Martin L. Ke...
SIGIR
2011
ACM
12 years 12 months ago
Mining weakly labeled web facial images for search-based face annotation
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
Dayong Wang, Steven C. H. Hoi, Ying He
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 11 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for e...
Jiliang Tang, Huan Liu