872 search results - page 31 / 175 » Hybrid Learning Scheme for Data Mining Applications |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
EDBT
2006
ACM
13 years 11 months ago
2006
ACM
Abstract. In wireless data broadcast systems, popular information is repetitively disseminated through possibly multiple communication channels to mobile clients using various type...
IAT
2006
IEEE
14 years 1 months ago
2006
IEEE
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes f...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
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...