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» On demand classification of data streams
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CIKM
2006
Springer
13 years 9 months ago
Classification spanning correlated data streams
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian ...
MIS
1999
Springer
84views Multimedia» more  MIS 1999»
13 years 9 months ago
Minimizing Bandwidth Requirements for On-Demand Data Delivery
Recent techniques for multicast or broadcast delivery of streaming media can provide immediate service to each client request yet achieve considerable client stream sharing (i.e.,...
Derek L. Eager, Mary K. Vernon, John Zahorjan
DEXA
2006
Springer
143views Database» more  DEXA 2006»
13 years 9 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 7 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
P2P
2010
IEEE
150views Communications» more  P2P 2010»
13 years 4 months ago
Spotify -- Large Scale, Low Latency, P2P Music-on-Demand Streaming
Abstract—Spotify is a music streaming service offering lowlatency access to a library of over 8 million music tracks. Streaming is performed by a combination of client-server acc...
Gunnar Kreitz, Fredrik Niemelä