alexa Abstract | A Classification Model on Graduate Employability Using Bayesian Approaches: A Comparison
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


The aim of study presents a graduate employability model that uses Bayesian methods to search the most important factor of graduate employability, and to compare the accuracy of each algorithm under Bayesian methods including Naïve Bayesian Simple, Naïve Bayesian, Averaged One-Dependence Estimators, Averaged One- Dependence Estimators with subsumption resolution, Bayesian networks, and Naïve Bayesian Updateable. The results show that 3 factors with a direct effect on employability are the work province, occupation type, and times find work.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Bangsuk Jantawan,, Cheng-Fa Tsai

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version