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CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics
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CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics: Enviados recientemente

Mostrando ítems 41-45 de 51

Evolution and scientific visualization of Machine learning field

Río-Belver, Rosa; Garechana, Gaizka; Bildosola, Iñaki; Zarrabeitia, Enara (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] This article provides a retrospective and understanding of the development of automatic learning methods. The beginnings are visualized as a discipline within Computer Sciences in the subcategory of Artificial ...
Has Robert Parker lost his hegemony as a prescriptor in the wine World? A preliminar inquiry through Twitter

Compés-López, Raúl; Font-Julian, Cristina; Orduna-Malea, Enrique (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The aim of this work is to determine to what extent Robert Parker has lost his influence as a prescriber in the world of wine through a webometric analysis based on a comparative analysis of Parker’s web influence and ...
Facebook, digital campaign and Italian general election 2018. A focus on the disintermediation process activated by the web

Calò, Ernesto; Faggiano, Maria Paola; Gallo, Raffaella; Mongiardo, Melissa (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The digital media convergence has innovated all the information and communication channels. ICTs have adapted to the reticular structure, which can be interpreted as a paradigm of today's Network Society, invoking ...
Big data analytics in returns management – Are complex techniques necessary to forecast consumer returns properly?

Asdecker, Björn; Karl, David (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The more people shop online, the more consumer returns e-tailers face. In order to plan the returns management process capacity adequately, it is necessary to forecast the expected amount of returned parcels. Big data ...
X11-like Seasonal Adjustment of Daily Data

Ladiray, Dominique; Mazzi, Gian Luigi (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] High frequency data, i.e. data observed at infra-monthly intervals, have been used for decades by statisticians and econometricians in the financial and industrial worlds. Weekly data were already used in the 20’s ...