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Research Article | Open Access |

CBRm: Case based Reasoning Approach for Imputation of Medium Gaps

Author 1: Anibal Flores Author 2: Hugo Tito Author 3: Carlos Silva
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 9 · Published 2019 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2019.0100949

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Abstract

This paper presents a new algorithm called CBRm for univariate time series imputation of medium-gaps inspired by the algorithm called Case Based Reasoning Imputation (CBRi) for short-gaps. The performance of the proposed algorithm is analyzed in meteorological time series corresponding to maximum temperatures; also it was compared with several similar techniques. Although the algorithm failed to overcome in some cases to other proposals regarding precision, the results achieved are encouraging considering that some weaknesses of other proposals with which it was compared were outperformed.

Keywords

Case Based Reasoning CBR CBRm univariate time series imputation medium-gaps

How to Cite this Article

Flores, A., Tito, H., & Silva, C. (2019). CBRm: Case based Reasoning Approach for Imputation of Medium Gaps. International Journal of Advanced Computer Science and Applications, 10(9). https://doi.org/10.14569/IJACSA.2019.0100949

Flores, Anibal, et al.. "CBRm: Case based Reasoning Approach for Imputation of Medium Gaps." International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, 2019, https://doi.org/10.14569/IJACSA.2019.0100949.

@article{Flores2019,
  title     = {CBRm: Case based Reasoning Approach for Imputation of Medium Gaps},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {9},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Anibal Flores and Hugo Tito and Carlos Silva},
  doi       = {10.14569/IJACSA.2019.0100949},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100949}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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