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» Scalable Distributed Stream Processing
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IPPS
1999
IEEE
15 years 2 months ago
The Characterization of Data-Accumulating Algorithms
A data-accumulating algorithm (d-algorithm for short) works on an input considered as a virtually endless stream. The computation terminates when all the currently arrived data ha...
Stefan D. Bruda, Selim G. Akl
SIGIR
2006
ACM
15 years 4 months ago
Thread detection in dynamic text message streams
Text message stream is a newly emerging type of Web data which is produced in enormous quantities with the popularity of Instant Messaging and Internet Relay Chat. It is benefici...
Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen
DMSN
2004
ACM
15 years 3 months ago
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Ryan Newton, Matt Welsh
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
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...
Damon Sotoudeh, Aijun An