The Use of Data Mining Applied In the Accounts Receivable from the Employees of a Government Institution in México
José Alberto Hernández Aguilar, Enrique Montoya, Alberto Ochoa, José Crispín Zavala and Augusto Renato Pérez Mayo

In this research we discussed the application of data mining in financial information, focusing on accounts re-ceivable of the employees of a government office, we applied visual data mining in (993) accounting records using WEKA to identify outliers by geographical region, the frequency and the amount of money missing in a period of time, and analyzed the main factors involved in this process. Our preliminary results show that the insecurity in the region is highly correlated with the amount of money missing in the government institution, overhanging the north and southeast of Mexico as the most affected.

Full Text: PDF     DOI: 10.15640/jcsit.v6n1a4