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Abstract: Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick streams, intrusion detection, and sensor networks. Mining techniques employed in these applications have to be e#cient in terms of space usage and per-item processing time while providing a high quality of answers to (1) aggregate monitoring queries, such as finding surprising levels, i.e., "volatility" of a... (Update)
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@misc{ author-paper,
author = "Authors Contact Author",
title = "Paper Reference No.: 192",
url = "citeseer.ist.psu.edu/643332.html" }
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