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- W1001450723 abstract "In recent years, the analysis of data streams has become a challenging task since many applicative fields generate massive amount of data that are difficult to store and to analyze with traditional techniques. In this paper we propose a strategy to summarize pseudo periodic streaming data affected by noise and sampling problems, by means of functional profiles. It is a clustering strategy performed in a divide and conquer manner. In the on-line step, a set of summarization structures, collect statistical information on data. Starting from these, in the off-line step, the final clustering structure and the set of functional profiles are computed." @default.
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- W1001450723 date "2010-11-08" @default.
- W1001450723 modified "2023-10-16" @default.
- W1001450723 title "Summarizing and Mining Streaming Data via a Functional Data Approach" @default.
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- W1001450723 doi "https://doi.org/10.1007/978-3-642-13312-1_43" @default.
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