References
1. Cruz RMO, Sabourin R, Cavalcanti GDC et al (2015) META-DES: a dynamic ensemble
selection framework using meta-learning. Pattern Recognit 48(5):1925–1935
2. Fan XM, Hu SL, He JB (2017) A dynamic selection ensemble method for target recognition
based on clustering and randomized reference classifier. Int J Mach Learn Cybern 3:1–11
3. Fokoue E (2015) A taxonomy of big data for optimal predictive machine learning and data
mining. Imi Period 113(13):1–18
4. Collell G, Prelec D, Patil KR (2018) A simple plug-in bagging ensemble based on thresholdmoving for classifying binary and multiclass imbalanced data. Neurocomputing 275:330–340
5. Belouch M, El S, Idhammad M (2017) A two-stage classifier approach using REPTree
algorithm for network intrusion detection. IJACSA 8(6):389–394
6. Fan XM, Hu SL, He JB (2017) A target recognition method for maritime surveillance radars
based on hybrid ensemble selection. Int J Syst 48(15):3334–3345
7. Pilcher CM, Khotanzad A (2011) Maritime ATR using classifier combination and high
resolution range profiles. IEEE Trans Aerosp Electron Syst 47(4):2558–2573
8. Kotthoff L, Thornton C, Hoos HH et al (2017) Auto-WEKA 2.0: automatic model selection
and hyperparameter optimization in WEKA. J Mach Learn Res 18:1–5
9. Kapoor P, Rani R (2015) Efficient decision tree algorithm using J48 and reduced error
pruning. Int J Eng Res Gen Sci 3:1613–1621
The Feasibility Analysis of the Application of Ensemble …
297
1. Cruz RMO, Sabourin R, Cavalcanti GDC et al (2015) META-DES: a dynamic ensemble
selection framework using meta-learning. Pattern Recognit 48(5):1925–1935
2. Fan XM, Hu SL, He JB (2017) A dynamic selection ensemble method for target recognition
based on clustering and randomized reference classifier. Int J Mach Learn Cybern 3:1–11
3. Fokoue E (2015) A taxonomy of big data for optimal predictive machine learning and data
mining. Imi Period 113(13):1–18
4. Collell G, Prelec D, Patil KR (2018) A simple plug-in bagging ensemble based on thresholdmoving for classifying binary and multiclass imbalanced data. Neurocomputing 275:330–340
5. Belouch M, El S, Idhammad M (2017) A two-stage classifier approach using REPTree
algorithm for network intrusion detection. IJACSA 8(6):389–394
6. Fan XM, Hu SL, He JB (2017) A target recognition method for maritime surveillance radars
based on hybrid ensemble selection. Int J Syst 48(15):3334–3345
7. Pilcher CM, Khotanzad A (2011) Maritime ATR using classifier combination and high
resolution range profiles. IEEE Trans Aerosp Electron Syst 47(4):2558–2573
8. Kotthoff L, Thornton C, Hoos HH et al (2017) Auto-WEKA 2.0: automatic model selection
and hyperparameter optimization in WEKA. J Mach Learn Res 18:1–5
9. Kapoor P, Rani R (2015) Efficient decision tree algorithm using J48 and reduced error
pruning. Int J Eng Res Gen Sci 3:1613–1621
The Feasibility Analysis of the Application of Ensemble …
297