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NIPS
1998
14 years 11 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
KDD
2006
ACM
127views Data Mining» more  KDD 2006»
15 years 10 months ago
Recommendation method for extending subscription periods
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
SIGKDD
2002
232views more  SIGKDD 2002»
14 years 9 months ago
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign d...
Victor S. Y. Lo
ICNP
2000
IEEE
15 years 2 months ago
A Scalable Monitoring Approach for Service Level Agreements Validation
In order to detect violations of end-to-end service level agreements (SLA) and to isolate trouble links and nodes based on a unified framework, managers of a service provider net...
Mun Choon Chan, Yow-Jian Lin, Xin Wang
ISSTA
2009
ACM
15 years 4 months ago
Advanced code coverage analysis using substring holes
Code coverage is a common aid in the testing process. It is generally used for marking the source code segments that were executed and, more importantly, those that were not execu...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...