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» Using a Hash-Based Method for Apriori-Based Graph Mining
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WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
14 years 3 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
WWW
2005
ACM
14 years 9 months ago
Partitioning of Web graphs by community topology
We introduce a stricter Web community definition to overcome boundary ambiguity of a Web community defined by Flake, Lawrence and Giles [2], and consider the problem of finding co...
Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 1 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 3 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
ATAL
2005
Springer
14 years 2 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek