406 search results - page 20 / 82 » New ensemble methods for evolving data streams |
IS
2008
13 years 8 months ago
2008
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
VRML
2000
ACM
14 years 1 months ago
2000
ACM
When distributing 3D contents real-time over a network with a narrow bandwidth such as a telephone line, methods for streaming and data compression can be considered indispensable...
PAKDD
2007
ACM
14 years 2 months ago
2007
ACM
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
KDD
2009
ACM
14 years 1 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
JIIS
2006
13 years 8 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...