406 search results - page 4 / 82 » New ensemble methods for evolving data streams |
ICTAI
2009
IEEE
15 years 6 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
15 years 6 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
14 years 9 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...
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ASC
2011
14 years 6 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
15 years 1 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...