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.

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}
}