Alternative ways to handle missing values problem: A case study in earthquake dataset

Abstract

Abstract Dataset is a basic foundation that is often used in understanding a problem. It provides information for researchers to get solutions to the problem. In the data retrieval process, some errors may occur and cause the data to be incomplete for any reason. It was a problem in how to recover the missing values in a dataset. The first step is to look at the characteristics of the data. In this paper, we proposed three alternative ways to obtain the missing values of the dataset. In this case, we used the earthquake dataset that has special properties. We then present the results to see the performance of the proposed methods. The results show a good agreement for the missing data. This is a preliminary result of our research related to missing data in the earthquake dataset. This study has some limitations such as if the missing values occur in a large enough data block, the methods need to be improved.