THE APPLICATION OF INFORMATION ENTROPY THEORY BASED DATA CLASSIFICATION ALGORITHM IN THE SELECTION OF TALENTS IN HOTELS

Abstract

Background: With the rapid development of the society, some excellent enterprises are having a growing demand for talents.  The recruitment and selection of talents is always concerned by the managers of enterprises.  Materials and methods: This study analyzed the human resource of hotels and introduced C4.5 algorithm in decision tree algorithm and its implementation procedures.  Talents were selected by investigating data of relevant ability of them and performing data analysis and data mining using C4.5 algorithm.  Objective: Information entropy based data classification C4.5 algorithm was used to screen hotel tal-ents.  Results: Decision tree was obtained by calculating the comprehensive ability, working experience, random response capability and psychological quality of the enrolled employ-ees.  During the talents selection in hotels, the C4.5 algorithm can make the process simple and convenient.  Decision tree algorithm can be used in the selection of talents in enterprises to preprocess data, construct data mining model of talent selection, and solve problems appearing in the recruitment and selection of talents.