Author

Isagani Mirador Tano
Quezon City University (QCU)
Quezon City, Philippines
Email: isaganitano062781@yahoo.com

Abstract

The employment facilitation service is generally perceived as being ‘information rich’ yet ‘knowledge poor’. This agency generates a wealth of data related to employment facilitation, however, there is a lack of research effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered from application of data mining techniques in employment facilitation services. In this study, it is briefly examined the potential use of classification-based data mining techniques such as Rule based, decision tree and Artificial Neural Network to massive volume of employment facilitation service data. In particular a study using classification techniques on the data available at the Quezon City Public Employment Service Office of the Department of Labor and Employment in the Philippines was conducted.

Keywords: employment facilitation service, Data Mining, DOLE, PESO, employment data

DOI: http://doi.org/10.69651/PIJHSS0404548

Recommended citation:

Tano, I. M. (2025). Applications of Data Mining techniques in multi-employment service facility. Pantao (The International Journal of the Humanities and Social Sciences) 4 (4), 5956-5963. http://doi.org/10.69651/PIJHSS0404548

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