35 search results - page 1 / 7 » A Prototype-driven Framework for Change Detection in Data St... |
CIDM
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
IJCAI
2007
13 years 5 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...