Title :
Application of data mining techniques in the characterization of internal personnel turnover
Author :
de Souza Mendes, Alessandro ; de Sousa Junior, Rafael Timoteo ; AymoreÌ Martins, ValeÌrio ; Gomes de Deus, FlaÌvio Elias
Author_Institution :
Dept. de Eng. Eletr., Univ. de Brasilia, Brasilia, Brazil
Abstract :
The aim of this work is to propose the application of data mining techniques to detect behavior patterns in employee management databases. The desired knowledge concerns the transfer of people between organizational areas (internal turnover), in order to provide organizations a model for assessing the impact of these transfers on their people management policies. Therefore, this article describes a model that applies techniques of clustering and association rules for the discovery of knowledge on transfers of staff between units of a Brazilian financial organization. To allow the expression of this knowledge in a compact expressive way, a new dimension type is proposed for the multidimensional model. This way, the hypothesis is evaluated on a case study conducted in a Brazilian organization, with over four thousand units spread nationwide and over 95 thousand employees.
Keywords :
data mining; data warehouses; organisational aspects; pattern clustering; personnel; Brazilian financial organization; association rules; behavior pattern detection; clustering techniques; data mining techniques; employee management databases; hypothesis evaluation; internal personnel turnover characterization; knowledge discovery; management policies; multidimensional model; organizational areas; people transfer; staff transfers; Association rules; Data warehouses; Databases; Knowledge discovery; Organizations; Software; Associations Rules; Clustering; Data Mining; Data Warehouse; Knowledge Discovery in Databases; Turnover;
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
DOI :
10.1109/CISTI.2014.6876923
