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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 8 days ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 8 days ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
15 years 6 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 3 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ATAL
2007
Springer
15 years 6 months ago
Managing the pedigree and quality of information in dynamic information sharing environments
The quality of information is crucial for decision making in many mission-critical applications such as battlefield operations and intelligence analysis. However, as the system b...
Bin Yu, Srikanth Kallurkar, Ganesh Vaidyanathan, D...