Feature Selection over Distributed Data Streams through Convex Optimization

Abstract

Monitoring data streams in a distributed system has attracted considerable interest in recent years. The task of feature selection (e.g., by monitoring the information gain of various features) requires a very high communication overhead when addressed using straightforward centralized algorithms. While most of the existing algorithms deal with monitoring… (More)
DOI: 10.1137/1.9781611972825.41

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Cite this paper

@inproceedings{Kogan2012FeatureSO, title={Feature Selection over Distributed Data Streams through Convex Optimization}, author={Jacob Kogan}, booktitle={SDM}, year={2012} }