134 search results - page 7 / 27 » Mining emerging patterns by streaming feature selection |
ICTAI
2009
IEEE
13 years 5 months ago
2009
IEEE
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
BTW
2005
Springer
14 years 1 months ago
2005
Springer
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...