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Title: Mining labour market information for use in developing an it manpower predictive model
Authors: Suen, Gar-yun, Garry 
Issue Date: 2000
Publisher: Hong Kong : Vocational Training Council ; IVETA
Abstract: To improve the information content of the data and to empower knowledge workers of today and tomorrow, the latest ''hot'' technologies that have emerged on the client/server arena are focused on filtering unnecessary data and presenting the valuable information in a user-friendly, intuitive, and easy to understand way. One of these technologies is data mining. This paper will highlight the significant of discovering meaningful new correlations, patterns, and trends by digging into (mining) large amounts of labour market information (LMI) stored in databases, using artificial-intelligence (AI) and statistical and mathematical techniques. For experimental purpose, a manpower predictive model will be built upon the LMI to forecast the manpower requirement of the IT sector. The IT manpower predictive model is essential for planners in business, government and academia to derive an appropriate vocational education and training plan to meet the needs of the industry.
Description: In: Vocational education and training for life long learning in the information era. IVETA [International Vocational Education and Training Association] Conference Proceedings (Hong Kong, China, August 6-9, 2000)
Available online pdf via VTC Institutional Repository
Keywords: Data mining
Artificial neural network
Statistical and mathematical technique
Labour market information
Manpower predictive model
Human resource development and manpower training
Subjects: IVETA 2000
Vocational education -- Congresses
Technical education -- Congresses
Type: Conference Paper
Links/Full textIVETA Conference 2000 via VTC-IR
Appears in Collections:Facilities and Technologies

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