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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
15 years 10 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
CSE
2009
IEEE
15 years 5 months ago
Mining Mobility Behavior from Trajectory Data
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes o...
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chia...
CIKM
2010
Springer
15 years 2 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
USENIX
1994
15 years 5 months ago
Resolving File Conflicts in the Ficus File System
Ficus is a flexible replication facility with optimistic concurrency control designed to span a wide range of scales and network environments. Optimistic concurrency control provi...
Peter L. Reiher, John S. Heidemann, David Ratner, ...
CIKM
2008
Springer
15 years 6 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...