• DocumentCode
    1363343
  • Title

    Mining for Computing Jobs

  • Author

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

  • Author_Institution
    Southern Illinois Univ., Carbondale, IL, USA
  • Volume
    27
  • Issue
    1
  • fYear
    2010
  • Firstpage
    78
  • Lastpage
    85
  • Abstract
    A Web content mining approach identified 20 job categories and the associated skills needs prevalent in the computing professions. Using a Web content data mining application, we extracted almost a quarter million unique IT job descriptions from various job search engines and distilled each to its required skill sets. We statistically examined these, revealing 20 clusters of similar skill sets that map to specific job definitions. The results allow software engineering professionals to tune their skills portfolio to match those in demand from real computing jobs across the US to attain more lucrative salaries and more mobility in a chaotic environment.
  • Keywords
    Internet; data mining; information filtering; search engines; statistical analysis; IT job description extraction; Web content data mining application; chaotic environment; job search engines; software engineering professionals; statistical analysis; clustering; computer and information science education; data mining; employment; occupations; software; software engineering; web mining;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2009.150
  • Filename
    5232798