A recent-biased dimension reduction technique for time series data

Springer-Verlag Berlin
Publication Type:
Journal Article
Advances In Knowledge Discovery And Data Mining, Proceedings, 2005, 3518 pp. 751 - 757
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There are many techniques developed for tackling time series and most of them consider every part of a sequence equally. In many applications, however, recent data can often be much more interesting and significant than old data. This paper defines new r
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