19 search results - page 3 / 4 » Adaptive Spike Detection for Resilient Data Stream Mining |
ICDM
2010
IEEE
13 years 3 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...
ICMCS
2009
IEEE
13 years 3 months ago
2009
IEEE
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
AUSDM
2007
Springer
13 years 12 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
SIGMOD
2006
ACM
14 years 5 months ago
2006
ACM
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...