19 search results - page 1 / 4 » Classification and Novel Class Detection in Data Streams wit... |
PAKDD
2010
ACM
13 years 6 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
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 ...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...