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Automatic Trend Line Generation f or timeseries analysis: a Graphical Approach

Automatic Trend Line Generation f or timeseries analysis: a Graphical Approach
 
Rivera Peruyero, Juan Ricardo ; Martí i Puig, Pere
2013

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Enllaç permanent: http://hdl.handle.net/10854/2794
 
Versió de l'editor: https://doi.org/:J0.32331978-1-61499-320-9-189
 

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 ...»»»»
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.^^^^

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Book part

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(c) 2013 IOS Press
 
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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