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» Approximate data mining in very large relational data
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CIKM
2008
Springer
15 years 3 months ago
Characterizing and predicting community members from evolutionary and heterogeneous networks
Mining different types of communities from web data have attracted a lot of research efforts in recent years. However, none of the existing community mining techniques has taken i...
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Y...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 2 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
HICSS
2000
IEEE
155views Biometrics» more  HICSS 2000»
15 years 6 months ago
Mining Time Dependency Patterns in Clinical Pathways
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce the length of hospital stay of each pat...
Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-me...
EDBT
2008
ACM
161views Database» more  EDBT 2008»
15 years 3 months ago
Automatic content targeting on mobile phones
The mobile phone industry has reached a saturation point. With low growth rates and fewer new customers available to acquire, competition among mobile operators is now focused on ...
Giovanni Giuffrida, Catarina Sismeiro, Giuseppe Tr...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 11 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu