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» On demand classification of data streams
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 10 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ASPLOS
2006
ACM
14 years 3 months ago
Exploiting coarse-grained task, data, and pipeline parallelism in stream programs
As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attrac...
Michael I. Gordon, William Thies, Saman P. Amarasi...
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
14 years 10 months ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
WINET
2010
121views more  WINET 2010»
13 years 8 months ago
Transmission algorithm for video streaming over cellular networks
2.5G and 3G cellular networks are becoming more and more widespread. Therefore, the need for value added services is increasing rapidly. One of the key services that operators see...
Y. Falik, A. Averbuch, U. Yechiali
ACSW
2004
13 years 11 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...