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KDD
2002
ACM
127views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 9 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 9 months ago
Preservation Of Patterns and Input-Output Privacy
Abstract breaches. To do so, the data custodian needs to transform its data. To determine the appropriate transforPrivacy preserving data mining so far has mainly mation, there are...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng,...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 8 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 8 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...