Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review | Zendy

José Azevedo | Zendy; Rui M.P. Almeida | Zendy; Pedro de Almeida | Zendy

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Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

Author(s) -

José Azevedo,

Rui M.P. Almeida,

Pedro de Almeida

Publication year - 2012

Publication title -

international journal of intelligence science

Language(s) - English

Resource type - Journals

eISSN - 2163-0356

pISSN - 2163-0283

DOI - 10.4236/ijis.2012.224023

Subject(s) - field (mathematics) , term (time) , computer science , series (stratigraphy) , time series , data mining , data science , machine learning , mathematics , paleontology , physics , quantum mechanics , pure mathematics , biology

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

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