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JMLR
2010
130views more  JMLR 2010»
14 years 6 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
SIGMOD
2005
ACM
151views Database» more  SIGMOD 2005»
15 years 11 months ago
The 8 requirements of real-time stream processing
Applications that require real-time processing of high-volume data steams are pushing the limits of traditional data processing infrastructures. These stream-based applications in...
Michael Stonebraker, Ugur Çetintemel, Stanley B. ...
LCTRTS
2009
Springer
15 years 6 months ago
Synergistic execution of stream programs on multicores with accelerators
The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. The StreamIt graphs describe task, da...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
ICC
2007
IEEE
127views Communications» more  ICC 2007»
15 years 5 months ago
Adaptive-Buffer Power Save Mechanism for Mobile Multimedia Streaming
— Wireless networks are becoming a part of everyday life for many people. When a mobile device has wireless LAN capability, multimedia content can be streamed over a wireless net...
Janet Adams
MM
2006
ACM
119views Multimedia» more  MM 2006»
15 years 5 months ago
Modelling dependency in multimedia streams
Expressing and analysing data dependency in multimedia streams is promising, since content-aware policies at a transport level would benefit from such services. In this paper we ...
Alexander Eichhorn