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Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9491))

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Abstract

Changes in the skill requirements of occupations can alter the balance in the numbers of high, middle and low-skilled jobs on the market. This can result in structural unemployment, stagnating income and other unforeseen social and economic side effects. In this paper, we demonstrate the use of a recent matrix factorization technique for extracting the underlying skill categories from O*NET, a publicly available database on occupational skill requirements. This study builds upon earlier work which also focused on this database, and which indicated that changes in skill requirements were in response to increased automation which unevenly affected different segments of the job market. In this paper we refine the methodological underpinnings of the earlier work and report some preliminary results which already show great promise.

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    http://www.onetonline.org.

  2. 2.

    http://www.scikit-learn.org.

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Acknowledgement

The authors would like to express their gratitude to the Masdar Institute of Science and Technology for supporting this research.

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Correspondence to Wei Lee Woon .

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Woon, W.L., Aung, Z., AlKhader, W., Svetinovic, D., Omar, M.A. (2015). Changes in Occupational Skills - A Case Study Using Non-negative Matrix Factorization. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_71

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  • DOI: https://doi.org/10.1007/978-3-319-26555-1_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26554-4

  • Online ISBN: 978-3-319-26555-1

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