127 search results - page 9 / 26 » Incremental Local Outlier Detection for Data Streams |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
PKDD
2010
Springer
13 years 5 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 ...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...