406 search results - page 4 / 82 » New ensemble methods for evolving data streams |
ICTAI
2009
IEEE
14 years 3 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
ISMIS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
ASC
2011
13 years 3 months ago
2011
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
ECAI
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...