DATE PREPARATION APPROACH IN JOURNAL SCOPE USING ROUGH SETS

Abstract

The MBYP project (Magazine Better to Your Paper), which aims to develop a platform for researchers in order to reduce the waiting time to make the choice of the magazine through machine learning methods, arose through the difficulty of researchers to understand if their work is adequate to the criteria indexed to the intended journal. Thus, in case it is not, he ends up having a good part of his dedicated time lost and consequently ends up leading to a loss of confidence regarding the work developed. For this, the Sucupira platform was used in order to obtain data related to the periodicals kept there so that they could be studied. However, data inconsistencies and duplicate elements were found during the analysis of the information obtained. Because of this, theory of rough sets theory (TRS) was used to eliminate doubtful entities from the main database through a procedure during the tuple insertion process in the database built in the MySQL Workbench. that apply the metrics belonging to the TRS to measure the degree of inaccuracy of the inaccurate elements acquired.