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» A Framework for Clustering Massive-Domain Data Streams
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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
TMM
2010
152views Management» more  TMM 2010»
13 years 4 months ago
Network Awareness of P2P Live Streaming Applications: A Measurement Study
Abstract--Early P2P-TV systems have already attracted millions of users, and many new commercial solutions are entering this market. Little information is however available about h...
Delia Ciullo, M.-A. Garcia da Rocha Neta, Á...
SPIESR
2003
136views Database» more  SPIESR 2003»
13 years 11 months ago
Media segmentation using self-similarity decomposition
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Jonathan Foote, Matthew L. Cooper
NIPS
2001
13 years 11 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
WINE
2005
Springer
143views Economy» more  WINE 2005»
14 years 3 months ago
An Analysis of Search Engine Switching Behavior Using Click Streams
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams. We segment users into a number of categories bas...
Yun-Fang Juan, Chi-Chao Chang