134 search results - page 1 / 27 » Mining emerging patterns by streaming feature selection |
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
JIIS
2006
13 years 4 months ago
2006
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
ADMA
2006
Springer
13 years 10 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...