Mining for Computing Jobs

Chuck Litecky; H. James Nelson; Andrew Aken; Altaf Ahmad

doi:10.1109/MS.2009.150

Software
2010
Issue No. 1 - January/February
Abstract - Mining for Computing Jobs

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Mining for Computing Jobs

January/February 2010 (vol. 27 no. 1)

pp. 78-85

	ASCII Text	x
	Chuck Litecky, Andrew Aken, Altaf Ahmad, H. James Nelson, "Mining for Computing Jobs," IEEE Software, vol. 27, no. 1, pp. 78-85, January/February, 2010.

	BibTex	x
	@article{ 10.1109/MS.2009.150, author = {Chuck Litecky and Andrew Aken and Altaf Ahmad and H. James Nelson}, title = {Mining for Computing Jobs}, journal ={IEEE Software}, volume = {27}, number = {1}, issn = {0740-7459}, year = {2010}, pages = {78-85}, doi = {http://doi.ieeecomputersociety.org/10.1109/MS.2009.150}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Software TI - Mining for Computing Jobs IS - 1 SN - 0740-7459 SP78 EP85 EPD - 78-85 A1 - Chuck Litecky, A1 - Andrew Aken, A1 - Altaf Ahmad, A1 - H. James Nelson, PY - 2010 KW - clustering KW - web mining KW - data mining KW - computer and information science education KW - employment KW - occupations KW - software KW - software engineering VL - 27 JA - IEEE Software ER -

Chuck Litecky, Southern Illinois University, Carbondale

Andrew Aken, Southern Illinois University, Carbondale

Altaf Ahmad, Southern Illinois University, Carbondale

H. James Nelson, Southern Illinois University, Carbondale

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2009.150

Understanding the types of jobs, the skills used in those jobs, and the relative distribution of jobs available in the computing professions is imperative in today's economy. This article uses a Web content mining approach to address these information needs. With this approach, the authors identified 20 categories of current computing jobs and their associated skills needs. During the study period, they extracted and analyzed nearly a quarter million job ads from Monster.com, HotJobs.com, and SimplyHired.com. The resulting data will be useful to current computing professionals, prospective employees, human-resource executives, and educational institutions.

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Index Terms:

clustering, web mining, data mining, computer and information science education, employment, occupations, software, software engineering

Citation:

Chuck Litecky, Andrew Aken, Altaf Ahmad, H. James Nelson, "Mining for Computing Jobs," IEEE Software, vol. 27, no. 1, pp. 78-85, Jan.-Feb. 2010, doi:10.1109/MS.2009.150

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