32 search results - page 1 / 7 » Improving Adaptive Bagging Methods for Evolving Data Streams |
ACML
2009
Springer
13 years 9 months ago
2009
Springer
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...