210 search results - page 2 / 42 » Designing an inductive data stream management system: the st... |
VLDB
2005
ACM
13 years 10 months ago
2005
ACM
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
SIGMOD
2006
ACM
14 years 4 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...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
CIKM
2003
Springer
13 years 10 months ago
2003
Springer
Currently, stream data processing is an active area of research, which includes everything from algorithms and architectures for stream processing to modelling and analysis of var...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
It has long been recognized that multi-stream operators, such as union and join, often have to wait idly in a temporarily blocked state, as a result of skews between the timestamp...