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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 10 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
MOBISYS
2009
ACM
14 years 10 months ago
EnTracked: energy-efficient robust position tracking for mobile devices
An important feature of a modern mobile device is that it can position itself. Not only for use on the device but also for remote applications that require tracking of the device....
Mikkel Baun Kjærgaard, Jakob Langdal, Torben...
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
14 years 10 months ago
Efficient ticket routing by resolution sequence mining
IT problem management calls for quick identification of resolvers to reported problems. The efficiency of this process highly depends on ticket routing--transferring problem ticke...
Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 10 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
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