Adaptive Employee Profile Classification for Resource Planning Tool

Autor:	Alberto De Obeso, Tere Gonzalez, Alan Garcia, Fernando Orozco, Victor Hugo Zaldivar, Mildreth Alcaraz, Pano Santos
Rok vydání:	2012
Předmět:	Human resource management system Naive Bayes classifier Information extraction Process management Bag-of-words model Computer science Resource planning Cornerstone Unstructured data computer.software_genre Completeness (statistics) computer Data science
Zdroj:	SRII Global Conference
DOI:	10.1109/srii.2012.67
Popis:	Matching the right people to the right job considering constraints such as qualifications, availability and cost is the cornerstone of IT projects delivery services. We present a study to improve data accuracy and completeness for resource matching by integrating unstructured data sources and introducing text mining techniques to dynamically adapt resource profile for resource planning decisions. Our approach discovers resource categories by extracting and learning new patterns from employee resumes; and incorporating resource experience for the job-matching optimization during the resource planning exercise.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b4de38e9a6b5190613696ff7ff96934 https://doi.org/10.1109/srii.2012.67 Zobrazit plný text záznamu