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ICSE
2008
IEEE-ACM
14 years 9 months ago
Symbolic mining of temporal specifications
Program specifications are important in many phases of the software development process, but they are often omitted or incomplete. An important class of specifications takes the f...
Mark Gabel, Zhendong Su
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 9 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
14 years 8 months ago
A gauss function based approach for unbalanced ontology matching
Ontology matching, aiming to obtain semantic correspondences between two ontologies, has played a key role in data exchange, data integration and metadata management. Among numero...
Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie...