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» Detecting Changes in Unlabeled Data Streams Using Martingale
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SAC
2009
ACM
14 years 16 days ago
Online annotation and prediction for regime switching data streams
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
13 years 3 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
CIKM
2010
Springer
13 years 4 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
ICDE
2008
IEEE
232views Database» more  ICDE 2008»
14 years 7 months ago
Continuous Content-Based Copy Detection over Streaming Videos
Digital videos are increasingly adopted in various multimedia applications where they are usually broadcasted or transmitted as video streams. Continuously monitoring copies on the...
Ying Yan, Beng Chin Ooi, Aoying Zhou
APWEB
2006
Springer
13 years 9 months ago
DSEC: A Data Stream Engine Based Clinical Information System
This demo paper describes a clinical information system: Data Stream Engine based Clinical information system (DSEC). In DSEC, data stream technology as well as traditional compute...
Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibi...