Automatic Trend Line Generation f or timeseries analysis: a Graphical Approach
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Publication date
2013ISBN
9781614993193
ISSN
0922-6389
Abstract
Trend lines are revealed useful to explain the past evolution of timeseries
of prices that are represented on graphics. However, in practice, there are a
huge amount of possible trend lines to be plotted but only a reduced set of them
are significant or relevant. The rapid identification of relevant trend lines when
they are in their initial phase of their development could provide interesting
projections for the future evolution of time-series. This approach is focused on the
graphical analysis of time-series -especially those coming from financia! asset
prices- under a framework of trend lines.
Document Type
Chapter or part of a book
Language
English
Keywords
Pages
4 p.
Citation
Rivera Peruyero, J. R., & Martí-Puig, P. (2013). In Gibert K., Botti V. & Reig-Bolano R.(Eds.), Automatic trend line generation for time-series analysis: A graphical approach. A: Frontiers in Artificial Intelligence and Applications, vol. 256, IOS Press, 2013, pp. 189-192 doi:10.3233/978-1-61499-320-9-189
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(c) 2013 IOS Press
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