Using data mining with time series data in short-term stocks prediction


Autoria(s): Azevedo, José Manuel; Almeida, Rui; Almeida, Pedro
Data(s)

27/10/2015

27/10/2015

01/10/2012

Resumo

Data Mining (DM) methods are being increasingly used in prediction with time series data, in addition to traditional statistical approaches. This paper presents a literature review of the use of DM with time series data, focusing on short- time stocks prediction. This is an area that has been attracting a great deal of attention from researchers in the field. The main contribution of this paper is to provide an outline of the use of DM with time series data, using mainly examples related with short-term stocks prediction. This is important to a better understanding of the field. Some of the main trends and open issues will also be introduced.

Identificador

10.4236/ijis.2012.224023

http://hdl.handle.net/10400.22/6781

10.4236/ijis.2012.224023

10.4236/ijis.2012.224023

Idioma(s)

eng

Publicador

SciRes

Relação

http://www.scirp.org/journal/PaperInformation.aspx?paperID=24192

Direitos

openAccess

Palavras-Chave #Data mining #Research subject categories #Data frequency #Time series #Applied mathematics #Mathematics #Fundamental data #Application domain #Short-term stocks prediction
Tipo

article