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» On demand classification of data streams
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CISIS
2009
IEEE
14 years 7 months ago
Evaluation of a Framework for Dynamic Source Selection in Stream Processing
The volume of stream data delivered from different information sources is increasing. There are a variety of demands to utilize such stream data for applications. Stream processin...
Kousuke Ohki, Yousuke Watanabe, Hiroyuki Kitagawa
76
Voted
JMLR
2010
130views more  JMLR 2010»
14 years 4 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...
ASC
2008
14 years 9 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
ICC
2007
IEEE
134views Communications» more  ICC 2007»
15 years 4 months ago
A MAC Protocol for Maximum Stream Allocation Depending on the Number of Antennas and Received RTS Packets in MIMO Ad Hoc Network
— MIMA-MAC is the most attractive MAC protocol for MIMO ad hoc networks, which consist of nodes with multiple antennas. MIMA-MAC, however, uses only a half of antennas for data t...
Motoki Shirasu, Iwao Sasase
DASFAA
2007
IEEE
202views Database» more  DASFAA 2007»
15 years 4 months ago
Optimizing Moving Queries over Moving Object Data Streams
With the increasing in demand on location-based aware services and RFIDs, efficient processing of continuous queries over moving object streams becomes important. In this paper, w...
Dan Lin, Bin Cui, Dongqing Yang