ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
Social interactions that occur regularly typically correspond to significant yet often infrequent and hard to detect interaction patterns. To identify such regular behavior, we p...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistic...
ICDM
2008
IEEE
14 years 6 months ago
2008
IEEE
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...