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» Mining Antagonistic Communities from Social Networks
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SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 9 months ago
Towards Finding Valuable Topics
Enterprises depend on their information workers finding valuable information to be productive. However, existing enterprise search and recommendation systems can exploit few studi...
Zhen Wen, Ching-Yung Lin
25
Voted
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
13 years 9 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
CORR
2011
Springer
206views Education» more  CORR 2011»
12 years 11 months ago
A Study of Language Usage Evolution in Open Source Software
: In December of 2010, the new game CityVille achieved 6 million daily active users in just 8 days. Clearly the success of CityVille owes something to the fun gameplay experience i...
Siim Karus, Harald Gall
IJMMS
2007
166views more  IJMMS 2007»
13 years 7 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...