MINERÍA DE DATOS EN LA ENCUESTA PERMANENTE DE HOGARES 2009, UNIVERSIDAD NACIONAL DEL LITORAL, ARGENTINA.

In this work it was applied the Data Mining for the first time, to the information generated by the Permanent Survey of Homes of the year 2009, of the Social Observatory of the University of the Litoral in Santa Fe, Argentina. The objective was to use classification algorithms that possess descriptive focuses and it is one of the tasks more used in Data Mining, to obtain new knowledge on the family of Santa Fe. The database was made with the information of the Permanent Survey of Homes of the year 2009 and it was processed with the software of data mining Weka 3.6.2. The classification algorithms that better results contributed were: Ridor, and J48, belonging to the groups of Rules and Trees of Decision, being the classification algorithm J48 the one that better it classifies to the Permanent Survey of Homes 2009, of the Social Observatory of the National University of the Litoral. [ABSTRACT FROM AUTHOR]