KEEL

KEEL: a software tool to assess evolutionary algorithms for data mining problems. This paper introduces a software tool named KEEL which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with different pre-processing techniques, allowing it to perform a complete analysis of any learning model in comparison to existing software tools. Moreover, KEEL has been designed with a double goal: research and educational.


References in zbMATH (referenced in 100 articles , 1 standard article )

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  1. van Engelen, Jesper E.; Hoos, Holger H.: A survey on semi-supervised learning (2020)
  2. Benítez-Peña, Sandra; Blanquero, Rafael; Carrizosa, Emilio; Ramírez-Cobo, Pepa: On support vector machines under a multiple-cost scenario (2019)
  3. Bing Zhu; Zihan Gao; Junkai Zhao; Seppe K.L.M. van den Broucke: IRIC: An R library for binary imbalanced classification (2019) not zbMATH
  4. De Miguel, Laura; Gómez, Daniel; Rodríguez, J. Tinguaro; Montero, Javier; Bustince, Humberto; Dimuro, Graçaliz P.; Sanz, José Antonio: General overlap functions (2019)
  5. Li, Wei: Matrix adaptation evolution strategy with multi-objective optimization for multimodal optimization (2019)
  6. Nguyen, Bac; Ferri, Francesc J.; Morell, Carlos; De Baets, Bernard: An efficient method for clustered multi-metric learning (2019)
  7. Wang, Zhe; Cao, Chenjie: Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems (2019)
  8. Zhang, Yongshan; Wu, Jia; Cai, Zhihua; Du, Bo; Yu, Philip S.: An unsupervised parameter learning model for RVFL neural network (2019)
  9. Abdul Aziz, Nor Hidayati; Ibrahim, Zuwairie; Ab Aziz, Nor Azlina; Mohamad, Mohd Saberi; Watada, Junzo: Single-solution simulated Kalman filter algorithm for global optimisation problems (2018)
  10. Chen, Xu; Xu, Bin; Yu, Kunjie; Du, Wenli: Teaching-learning-based optimization with learning enthusiasm mechanism and its application in chemical engineering (2018)
  11. Francisco Charte, Antonio J. Rivera, David Charte, María J. del Jesus, Francisco Herrera: Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository (2018) arXiv
  12. Lucca, Giancarlo; Antonio Sanz, José; Dimuro, Graçaliz Pereira; Bedregal, Benjamín; Bustince, Humberto; Mesiar, Radko: (C_F)-integrals: a new family of pre-aggregation functions with application to fuzzy rule-based classification systems (2018)
  13. Muñoz, Mario A.; Villanova, Laura; Baatar, Davaatseren; Smith-Miles, Kate: Instance spaces for machine learning classification (2018)
  14. Abellán, Joaquín; Castellano, Javier G.; Mantas, Carlos J.: A new robust classifier on noise domains: bagging of Credal C4.5 trees (2017)
  15. Cui, Laizhong; Li, Genghui; Zhu, Zexuan; Lin, Qiuzhen; Wen, Zhenkun; Lu, Nan; Wong, Ka-Chun; Chen, Jianyong: A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization (2017)
  16. Randal S. Olson, William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore: PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison (2017) arXiv
  17. Zuo, Cili; Wu, Lianghong; Zeng, Zhao-Fu; Wei, Hua-Liang: Stochastic fractal based multiobjective fruit fly optimization (2017)
  18. Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María J. del Jesus: Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package (2016) not zbMATH
  19. Fernández, Alberto; Elkano, Mikel; Galar, Mikel; Sanz, José Antonio; Alshomrani, Saleh; Bustince, Humberto; Herrera, Francisco: Enhancing evolutionary fuzzy systems for multi-class problems: distance-based relative competence weighting with truncated confidences (DRCW-TC) (2016)
  20. Gámez, Juan Carlos; García, David; González, Antonio; Pérez, Raúl: Ordinal classification based on the sequential covering strategy (2016)

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