Imbalanced Data Classification: A Novel Re-sampling Approach Combining Versatile Improved SMOTE and Rough Sets

Katarzyna Borowska, Jarosław Stepaniuk

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DOI: 10.1007/978-3-319-45378-1_4
Published: 2016
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-319-45378-1_4,
  title = {Imbalanced Data Classification: A Novel Re-sampling Approach Combining Versatile Improved SMOTE and Rough Sets},
  author = {Katarzyna Borowska and Jarosław Stepaniuk},
  year = {2016},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-319-45378-1_4},
  url = {https://doi.org/10.1007/978-3-319-45378-1_4}
}

RIS

TY  - JOUR
TI  - Imbalanced Data Classification: A Novel Re-sampling Approach Combining Versatile Improved SMOTE and Rough Sets
AU  - Katarzyna Borowska
AU  - Jarosław Stepaniuk
PY  - 2016
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-319-45378-1_4
UR  - https://doi.org/10.1007/978-3-319-45378-1_4
ER  -

APA

Borowska, K., & Stepaniuk, J. (2016). Imbalanced Data Classification: A Novel Re-sampling Approach Combining Versatile Improved SMOTE and Rough Sets. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-45378-1_4

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crossref · retrieved 2026-11-10T11:03:23.210Z