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

  • Azevedo J
  • Almeida R
  • Almeida P
N/ACitations
Citations of this article
66Readers
Mendeley users who have this article in their library.

Abstract

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 shorttime 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.

Cite

CITATION STYLE

APA

Azevedo, J. M., Almeida, R., & Almeida, P. (2012). Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review. International Journal of Intelligence Science, 02(04), 176–180. https://doi.org/10.4236/ijis.2012.224023

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free