A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
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An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
On Machine Learning Methods for Chinese Document Categorization
Applied Intelligence
A Behavioral Choice Model When Computational Ability Matters
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No Unbiased Estimator of the Variance of K-Fold Cross-Validation
The Journal of Machine Learning Research
Analysis of Variance of Cross-Validation Estimators of the Generalization Error
The Journal of Machine Learning Research
Information Sciences: an International Journal
Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
A hybrid machine learning approach to network anomaly detection
Information Sciences: an International Journal
TREPPS: A Trust-based Recommender System for Peer Production Services
Expert Systems with Applications: An International Journal
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Application of support vector machines in predicting employee turnover based on job performance
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Learning intrusion detection: supervised or unsupervised?
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country
Mathematical and Computer Modelling: An International Journal
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Advances in information technology have led to behavioral changes in people and submission of curriculum vitae (CV) via the Internet has become an often-seen phenomenon. Without any technological support for the filtering process, recruitment can be difficult. In this research, a method combining five-factor personality inventory, support vector machine (SVM), and multi-criteria decision-making (MCDM) method was proposed to improve the quality of recruiting appropriate candidates. The online questionnaire personality testing developed by the International Personality Item Pool (IPIP) was utilized to identify the personal traits of candidates and both SVM and MCDM were employed to predict and support the decision of personnel choice. SVM was utilized to predict the fitness of candidates, while MCDM was employed to estimate the performance for a job placement. The results show the proposed system provides a qualified matching according to the results collected from enterprise managers.