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ICML
2005
IEEE
15 years 10 months ago
A martingale framework for concept change detection in time-varying data streams
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
Shen-Shyang Ho
EDBT
2006
ACM
150views Database» more  EDBT 2006»
15 years 9 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
ESCIENCE
2006
IEEE
15 years 1 months ago
Grid-Based Data Stream Processing in e-Science
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...
DEXA
2010
Springer
266views Database» more  DEXA 2010»
14 years 10 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
81
Voted
CCGRID
2009
IEEE
14 years 7 months ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...