424 search results - page 25 / 85 » Mining data streams with periodically changing distributions |
WAIM
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Modern large distributed applications, such as telecommunication and banking services, need to respond instantly to a huge number of queries within a short period of time...
SIGMOD
2006
ACM
14 years 9 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...
SDM
2009
SIAM
14 years 6 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...
ICDE
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
WEBI
2004
Springer
14 years 2 months ago
2004
Springer
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...