A data mining process using classification techniques for employability prediction
Abstract
The use of the data mining has become wider today; it can be applied in several fields like marketing, customer relationship management, medicine, engineering, etc. It can be used also in employability, the use of data mining in this field will give opportunities and solution for decision makers in this field in order to improve the employability and propose solutions. In this paper, we propose a data mining process for employability data using classification techniques, presenting in details all the phases in the process and what should be done in every phase. We used Rapid Miner Studio Educational Version 8.1.000, using an employability dataset.
Keywords
Data mining; Data mining process; Employability; Classification; Rapid Miner
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PDFDOI: http://doi.org/10.11591/ijeecs.v14.i2.pp1025-1029
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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).