Ensemble learning of high-dimensional stock market data

Manolis Maragoudakis, Dimitrios Serpanos

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish
Title of host publicationComputational Intelligence Techniques for Trading and Investment
PublisherTaylor and Francis
Pages192-215
Number of pages24
ISBN (Print)9780203084984
DOIs
Publication statusPublished - 20 Aug 2014
Externally publishedYes

Fingerprint

Stock market
Market data
Ensemble learning

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics, Econometrics and Finance(all)

Cite this

Maragoudakis, M., & Serpanos, D. (2014). Ensemble learning of high-dimensional stock market data. In Computational Intelligence Techniques for Trading and Investment (pp. 192-215). Taylor and Francis. https://doi.org/10.4324/9780203084984

Ensemble learning of high-dimensional stock market data. / Maragoudakis, Manolis; Serpanos, Dimitrios.

Computational Intelligence Techniques for Trading and Investment. Taylor and Francis, 2014. p. 192-215.

Research output: Chapter in Book/Report/Conference proceedingChapter

Maragoudakis, M & Serpanos, D 2014, Ensemble learning of high-dimensional stock market data. in Computational Intelligence Techniques for Trading and Investment. Taylor and Francis, pp. 192-215. https://doi.org/10.4324/9780203084984
Maragoudakis M, Serpanos D. Ensemble learning of high-dimensional stock market data. In Computational Intelligence Techniques for Trading and Investment. Taylor and Francis. 2014. p. 192-215 https://doi.org/10.4324/9780203084984
Maragoudakis, Manolis ; Serpanos, Dimitrios. / Ensemble learning of high-dimensional stock market data. Computational Intelligence Techniques for Trading and Investment. Taylor and Francis, 2014. pp. 192-215
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