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» Top-k Correlative Graph Mining.
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 2 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
11 years 7 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 5 months 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
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 10 days ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
TKDE
2008
136views more  TKDE 2008»
13 years 4 months ago
Efficient Correlation Search from Graph Databases
Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Yiping Ke, James Cheng, Wilfred Ng