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Abstract: Data on the Web is noisy, huge, and dynamic. This poses enormous challenges to most data mining techniques that try to extract patterns from this data. While scalable data mining methods are expected to cope with the size challenge, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stoppages and reconfigurations is still an open challenge. This dynamic and single pass setting can be cast within the framework of mining evolving data streams. The harsh ... (Update)
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BibTeX entry: (Update)
@misc{ nasraoui-mining,
author = "Olfa Nasraoui and Cesar Cardona and Carlos Rojas",
title = "Mining Evolving Web Clickstreams with Explicit Retrieval Similarity Measures",
url = "citeseer.ist.psu.edu/nasraoui04mining.html" }
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