Rabiei, Leila

[ 1 ] - A method to solve the problem of missing data, outlier data and noisy data in order to improve the performance of human and information interaction

Abstract Purpose: Errors in data collection and failure to pay attention to data that are noisy in the collection process for any reason cause problems in data-based analysis and, as a result, wrong decision-making. Therefore, solving the problem of missing or noisy data before processing and analysis is of vital importance in analytical systems. The purpose of this paper is to provide a metho...