A supervised approach for change detection in data streams

Author:

Bondu A.,Boulle M.

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting Dangerous Seismic Events in Coal Mines under Distribution Drift;Annals of Computer Science and Information Systems;2016-10-02

2. Massive-Scale Simulation of Electrical Load in Smart Grids Using Generalized Additive Models;Modeling and Stochastic Learning for Forecasting in High Dimensions;2015

3. Prediction of Methane Outbreak in Coal Mines from Historical Sensor Data under Distribution Drift;Lecture Notes in Computer Science;2015

4. Visual and Dynamic Change Detection for Data Streams;Neural Information Processing;2015

5. Semi-supervised Learning with Concept Drift Using Particle Dynamics Applied to Network Intrusion Detection Data;2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence;2013-09

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