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

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor.author Rivera Peruyero, Juan Ricardo
dc.contributor.author Martí i Puig, Pere
dc.date.accessioned 2014-03-20T11:23:44Z
dc.date.available 2014-03-20T11:23:44Z
dc.date.created 2013
dc.date.issued 2013
dc.identifier.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 ca_ES
dc.identifier.isbn 9781614993193
dc.identifier.issn 0922-6389
dc.identifier.uri http://hdl.handle.net/10854/2794
dc.description.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. en
dc.format application/pdf
dc.format.extent 4 p. ca_ES
dc.language.iso eng ca_ES
dc.rights (c) 2013 IOS Press
dc.rights Tots els drets reservats ca_ES
dc.subject.other Sèries temporals ca_ES
dc.title Automatic Trend Line Generation f or timeseries analysis: a Graphical Approach en
dc.type info:eu-repo/semantics/bookPart ca_ES
dc.identifier.doi https://doi.org/:J0.32331978-1-61499-320-9-189
dc.relation.publisherversion http://ebooks.iospress.nl/publication/35247
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES

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