Changes in occupational skills - A case study using non-negative matrix factorization

Wei Lee Woon; Zeyar Aung; Wala Alkhader; Davor Svetinovic; Mohammad Atif Omar

doi:10.1007/978-3-319-26555-1_71

Changes in occupational skills - A case study using non-negative matrix factorization

Wei Lee Woon, Zeyar Aung, Wala Alkhader, Davor Svetinovic, Mohammad Atif Omar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	British English
Title of host publication	Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings
Editors	Tingwen Huang, Qingshan Liu, Weng Kin Lai, Sabri Arik
Publisher	Springer Verlag
Pages	627-634
Number of pages	8
ISBN (Print)	9783319265544
DOIs	https://doi.org/10.1007/978-3-319-26555-1_71
State	Published - 2015
Event	22nd International Conference on Neural Information Processing, ICONIP 2015 - Istanbul, Turkey Duration: 9 Nov 2015 → 12 Nov 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9491
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Neural Information Processing, ICONIP 2015
Country/Territory	Turkey
City	Istanbul
Period	9/11/15 → 12/11/15

Keywords

Data mining
Empirical research
Job characteristics
Non-negative matrix factorization
Source separation

Access to Document

10.1007/978-3-319-26555-1_71

Cite this

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 T. Huang, Q. Liu, W. K. Lai, & S. Arik (Eds.), Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings (pp. 627-634). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9491). Springer Verlag. https://doi.org/10.1007/978-3-319-26555-1_71

Woon, Wei Lee ; Aung, Zeyar ; Alkhader, Wala et al. / Changes in occupational skills - A case study using non-negative matrix factorization. Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. editor / Tingwen Huang ; Qingshan Liu ; Weng Kin Lai ; Sabri Arik. Springer Verlag, 2015. pp. 627-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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author = "Woon, {Wei Lee} and Zeyar Aung and Wala Alkhader and Davor Svetinovic and Omar, {Mohammad Atif}",

note = "Funding Information: The authors would like to express their gratitude to the Masdar Institute of Science and Technology for supporting this research. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 22nd International Conference on Neural Information Processing, ICONIP 2015 ; Conference date: 09-11-2015 Through 12-11-2015",

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doi = "10.1007/978-3-319-26555-1_71",

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Woon, WL, Aung, Z , Alkhader, W , Svetinovic, D & Omar, MA 2015, Changes in occupational skills - A case study using non-negative matrix factorization. in T Huang, Q Liu, WK Lai & S Arik (eds), Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9491, Springer Verlag, pp. 627-634, 22nd International Conference on Neural Information Processing, ICONIP 2015, Istanbul, Turkey, 9/11/15. https://doi.org/10.1007/978-3-319-26555-1_71

Changes in occupational skills - A case study using non-negative matrix factorization. / Woon, Wei Lee; Aung, Zeyar ; Alkhader, Wala et al.
Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. ed. / Tingwen Huang; Qingshan Liu; Weng Kin Lai; Sabri Arik. Springer Verlag, 2015. p. 627-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9491).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Changes in occupational skills - A case study using non-negative matrix factorization

AU - Woon, Wei Lee

AU - Aung, Zeyar

AU - Alkhader, Wala

AU - Svetinovic, Davor

AU - Omar, Mohammad Atif

N1 - Funding Information: The authors would like to express their gratitude to the Masdar Institute of Science and Technology for supporting this research. Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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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KW - Empirical research

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KW - Source separation

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings

A2 - Huang, Tingwen

A2 - Liu, Qingshan

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PB - Springer Verlag

T2 - 22nd International Conference on Neural Information Processing, ICONIP 2015

Y2 - 9 November 2015 through 12 November 2015

ER -

Woon WL, Aung Z , Alkhader W , Svetinovic D , Omar MA. Changes in occupational skills - A case study using non-negative matrix factorization. In Huang T, Liu Q, Lai WK, Arik S, editors, Neural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings. Springer Verlag. 2015. p. 627-634. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-26555-1_71

Changes in occupational skills - A case study using non-negative matrix factorization

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