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SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
15 years 5 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
15 years 10 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difï¬...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 4 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
16 years 4 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...
DAC
2000
ACM
16 years 5 months ago
METRICS: a system architecture for design process optimization
We describe METRICS, a system to recover design productivity via new infrastructure for design process optimization. METRICS seeks to treat system design and implementation as a s...
Stephen Fenstermaker, David George, Andrew B. Kahn...