Integrating novel class detection with classification for concept-drifting data streams

MM Masud, J Gao, L Khan, J Han… - Machine Learning and …, 2009 - Springer
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
被引用次数：131 相关文章

Integrating novel class detection with classification for concept-drifting data streams

MM Masud, J Gao, L Khan, J Han… - Proceedings of the …, 2009 - dl.acm.org
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
[PDF] researchgate.net

[PDF][PDF] Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J Gao, L Khan, J Han, B Thuraisingham - researchgate.net
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
[PDF] illinois.edu

[PDF][PDF] Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J Gao, L Khan, J Han, B Thuraisingham - hanj.cs.illinois.edu
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …

Integrating novel class detection with classification for concept-drifting data streams

MM Masud, J Gao, L Khan, J Han… - … in Databases, ECML …, 2009 - research.uaeu.ac.ae
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J Gao, L Khan, J Han, B Thuraisingham - Machine Learning and … - infona.pl
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
[PDF] academia.edu

[PDF][PDF] Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J Gao, L Khan, J Han, B Thuraisingham - academia.edu
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
[PDF] psu.edu

[PDF][PDF] Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J Gao, L Khan, J Han, B Thuraisingham - Citeseer
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …
[PDF] utdallas.edu

[PDF][PDF] Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

MM Masud, J ing Gao, L Khan, J Han - 2009 - utdallas.edu
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …

Integrating novel class detection with classification for concept-drifting data streams

MM Masud, J Gao, L Khan, J Han… - … on Machine Learning …, 2009 - experts.illinois.edu
In a typical data stream classification task, it is assumed that the total number of classes are
fixed. This assumption may not be valid in a real streaming environment, where new classes …