Decision Trees as a Classification Technique in Manpower Planning

Onderzoeksoutput: Conference paper

Samenvatting

In manpower planning mathemathical models, based on estimations of transition probabilities between groups of employees, are used to predict future staff compositions. Although the quality of the model depends on the division of the staff in groups, this classification has been neglected in literature. The present paper investigates whether decision tree learning can be used as a classi- fication technique in manpower planning. The paper presents a method for dividing the population according to the available data in the HR database. The approach will improve predictions and validity of the model. Another advantage of our developed method is that it can be automated and implemented in software. Implementation of the method will make it possible for HR departments in a company to use the models in practice. The approach will be illustrated on a real life human resources database using statistical software such as R and WEKA
Originele taal-2English
TitelThe 16th Conference of the Applied Stochastic Models and Data Analysis International Society
Pagina's863-877
StatusPublished - 2015
EvenementApplied Stochastic Models and Data Analysis - ASMDA2015 - University of Piraeus, Piraeus, Greece
Duur: 30 jun 20154 jul 2015

Conference

ConferenceApplied Stochastic Models and Data Analysis - ASMDA2015
Land/RegioGreece
StadPiraeus
Periode30/06/154/07/15

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