Skip to main content

Table 3 Feature selection/extraction techniques applied in the reviewed articles

From: Survey of feature selection and extraction techniques for stock market prediction

Technique

Number of articles

Research articles

1. Correlation criteria

5

Alsubaie et al. (2019); Aloraini (2015); Li et al. (2022); Kumar et al. (2016); Nabi et al. (2019)

2. Distance criteria

1

Aloraini (2015)

3. Relief algorithm

3

Alsubaie et al. (2019); Kumar et al. (2016); Gunduz et al. (2017)

4. RFE

3

Botunac et al. (2020); Yuan et al. (2020); Shen and Shafiq (2020)

5. RF

5

Botunac et al. (2020); Kumar et al. (2016); Yuan et al. 2020; Labiad et al. (2016); Haq et al. (2021)

6. SVM

1

Haq et al. (2021)

7. Logistic regression

1

Haq et al. (2021)

8. Lasso estimate

1

Aloraini (2015)

9. RBM

1

Cai et al. (2012)

10. FSMRMR

1

Sun et al. (2019)

11. CMIM

1

Sun et al. (2019)

12. Information gain

2

Chen and Hao (2017); Chen and Hao (2020)

13. Gain ratio

2

Alsubaie et al. (2019); Gunduz et al. (2017)

14. PCA

11

Nabi et al. (2019), Shen and Shafiq (2020), Siddique and Panda (2019), Singh and Khushi (2021)

  

Ampomah et al. (2020), Qolipour et al. (2021), Iacomin (2015), Ampomah et al. (2021)

  

Das et al. (2019); Kumar et al. (2021b); Tang et al. (2018)

15. Autoencoder

5

Chong et al. (2017); Bhanja and Das (2022); Xie and Yu (2021); Dami and Esterabi (2021); Gunduz (2021)

16. LDA

1

Ampomah et al. (2021)

17. Factor analysis

2

Ampomah et al. (2021); Das et al. (2019)

18. Firefly optimization

1

Das et al. (2019)

19. Genetic algorithm

3

Das et al. (2019; Barak et al. (2017); Farahani and Hajiagha (2021)

20. FO with GA

1

Das et al. (2019)