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Abstract: We consider the problem of resource allocation in mining multiple data streams. Due to the large volume and the high speed of streaming data, mining algorithms must cope with the e#ects of system overload. How to realize maximum mining benefits under resource constraints becomes a challenging task. In this paper, we propose a load shedding scheme for classifying multiple data streams. We focus on the following problems: i) how to classify data that are dropped by the load shedding scheme? and... (Update)
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1.4: Loadstar: A Load Shedding Scheme for Classifying Data Streams - Chi, Yu, Wang, Muntz (2005) (Correct)
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BibTeX entry: (Update)
@misc{ philip-loadstar,
author = "Yun Chi Philip",
title = "Loadstar: A Load Shedding Scheme for Classifying Data Streams",
url = "citeseer.ist.psu.edu/762185.html" }
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