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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
CBRm: Case based Reasoning Approach for Imputation of Medium Gaps
Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100949
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 9, 2019.
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
Anibal Flores, Hugo Tito and Carlos Silva, “CBRm: Case based Reasoning Approach for Imputation of Medium Gaps” International Journal of Advanced Computer Science and Applications(IJACSA), 10(9), 2019. http://dx.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},
doi = {10.14569/IJACSA.2019.0100949},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100949},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {9},
author = {Anibal Flores and Hugo Tito and Carlos Silva}
}
