872 search results - page 81 / 175 » Hybrid Learning Scheme for Data Mining Applications |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
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 ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...