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Springer, Berlin, Heidelberg

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10.1002/ciuz.19780120205

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Approximation Algorithms for Massive High-Rate Data Streams

Authors: Alfredo Cuzzocrea,

Publish Date: 2013
Volume: , Issue:, Pages: 59-68
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Abstract

This paper complements our line of research on effectively and efficiently processing massive high − rate data streams via intelligent compression techniques. In particular, here we provide approximation algorithms adhering to the so-called non − linear data stream compression paradigm. This paradigm demonstrates its feasibility and reliability in the context of emerging data stream applications, such as environmental sensor networks.


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