Técnicas de minería de datos aplicada a bases de datos imputadas. Un caso de estudio

Abstract

This paper aims to present a case study on the comparison of actual bases and databases imputed using data mining techniques for the purpose of being able to conclude whether the resulting information obtained in each are similar or have a degree of error, noting the variability of patterns in the values of the variables and interpreting and evaluating data after applying the data mining model. The paper is structured as follows: Introduction to the theory of imputation of data and data mining, a non-exhaustive detail the aggregation operators, kmeans algorithm, clustering, and then describes in detail the experiment and finally present the conclusions and future lines. In the end he presents an abundant literature on the job.