Please use this identifier to cite or link to this item:
http://vpet.vtc.edu.hk/dspace/handle/999/621
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 text: | IVETA Conference 2000 via VTC-IR |
Appears in Collections: | Facilities and Technologies |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.