% ChiMerge Binning merges adjacent bins based on the Chi-square test statistic. It finds optimal binning by combining values that are statistically similar in terms of the target variable distribution. Primarily used in categorical or numerical data discretization.
@inproceedings{Kerber1992ChiMerge,
  author    = {Kerber, Randy},
  title     = {{ChiMerge: Discretization of Numeric Attributes}},
  booktitle = {Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92)},
  year      = {1992},
  publisher = {AAAI Press / The MIT Press},
  address   = {San Jose, CA},
  pages     = {123--128} % Page numbers commonly cited for this paper
}

@inproceedings{Liu1995Chi2,
  author    = {Liu, Huan and Setiono, Rudy},
  title     = {{Chi2: Feature Selection and Discretization of Numeric Attributes}},
  booktitle = {Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '95)},
  year      = {1995},
  pages     = {388--391},
  publisher = {IEEE Computer Society},
  address   = {Herndon, VA, USA} 
}



% Dynamic Programming with Linear Constraints combines dynamic programming with linear constraints to find the optimal sequence of bins while respecting monotonicity and other binning rules.
@article{NavasPalencia2022OptBinning,
  author    = {Guillermo Navas-Palencia},
  title     = {OptBinning: Mathematical Optimization for Optimal Binning},
  journal   = {Journal of Open Source Software},
  volume    = {7},
  number    = {74},
  pages     = {4101},
  year      = {2022},
  doi       = {10.21105/joss.04101},
  url       = {https://doi.org/10.21105/joss.04101},
  note      = {Descreve a biblioteca OptBinning, que implementa algoritmos de otimiza{\c c}{\~a}o para binning {\'o}timo, incluindo tratamento de restri{\c c}{\~o}es como monotonicidade.}
}

@book{Siddiqi2017,
  author    = {Naeem Siddiqi},
  title     = {Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards},
  publisher = {John Wiley \& Sons},
  year      = {2017},
  edition   = {2nd},
  isbn      = {978-1119278288},
  note      = {Um guia pr{\'a}tico padr{\~a}o em scorecards de cr{\'e}dito, abordando extensivamente a import{\^a}ncia do binning, Weight of Evidence (WoE), Information Value (IV) e a necessidade de tend{\^e}ncias monot{\^o}nicas.}
}

@book{Thomas2017,
  author    = {Lyn C. Thomas and David B. Edelman and Jonathan N. Crook},
  title     = {Credit Scoring and Its Applications},
  publisher = {SIAM},
  year      = {2017},
  edition   = {2nd},
  series    = {SIAM Monographs on Mathematical Modeling and Computation},
  isbn      = {978-1611974564},
  note      = {Refer{\^e}ncia acad{\^e}mica sobre modelagem de risco de cr{\'e}dito, cobrindo m{\'e}todos estat{\'i}sticos e de machine learning, incluindo a discretiza{\c c}{\~a}o de vari{\'a}veis (binning).}
}

@article{Kotsiantis2006,
  author  = {Sotiris B. Kotsiantis and Dimitris Kanellopoulos},
  title   = {Discretization Techniques: A recent survey},
  journal = {GESTS International Transactions on Computer Science and Engineering},
  volume  = {32},
  number  = {1},
  pages   = {47--58},
  year    = {2006},
  note    = {Oferece uma vis{\~a}o geral de v{\'a}rias t{\'e}cnicas de discretiza{\c c}{\~a}o usadas em prepara{\c c}{\~a}o de dados para machine learning, fornecendo contexto onde algoritmos como DP para binning se encaixam.}
}

@misc{OptBinningDocumentation,
  author       = {Guillermo Navas-Palencia},
  title        = {OptBinning Documentation},
  howpublished = {\url{https://optbinning.readthedocs.io/}},
  year         = {Accessed 2025-04-08},
  note         = {A documenta{\c c}{\~a}o oficial da biblioteca OptBinning detalha os m{\'e}todos e op{\c c}{\~o}es dispon{\'i}veis, incluindo algoritmos para binning {\'o}timo com restri{\c c}{\~o}es.}
}
