406 search results - page 3 / 82 » New ensemble methods for evolving data streams |
KDD
2003
ACM
14 years 6 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
TFS
2008
13 years 6 months ago
2008
Abstract--A new approach to the online classification of streaming data is introduced in this paper. It is based on a selfdeveloping (evolving) fuzzy-rule-based (FRB) classifier sy...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
SIGMOD
2006
ACM
14 years 6 months ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...