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Mining coherence in time series data

Moustakis Vasilis, George Potamias

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URI: http://purl.tuc.gr/dl/dias/2F92C4FB-81D9-4EA5-8721-DF1DD6E92E1B
Year 2001
Type of Item Conference Short Paper
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Bibliographic Citation G. Potamias, V. Moustakis, (2001, August). Mining coherence in time series data. Presented at Ninth International Conference on Human Computer Interaction: Symbiosis of Human and Artifact. [Online]. Available: http://users.ics.forth.gr/~potamias/home_page/p27.pdf
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Summary

This paper presents work on modeling coherence between time series data. Work is based on the elaboration offormula that computes the distance between time series. Based on the computed distances, the method exploits theclosest neighbor algorithm and leads to the construction of a phylogeny-clustering tree. Using car sales data(available on the www) we demonstrate work done and present preliminary results. We discuss implications of thework performed in correlating time series data with documents including such data.

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