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The Factors that Affects the Employment Type of The Graduates by Data-mining Approach

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(7), pp.167-174
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김형래 1 Jun,Do-Hong 2

1한국고용정보원
2관동대학교

Accredited

ABSTRACT

Data mining technique can be adapted to analysing Employment information in order to discover valuable information out of large data. As the issue employment such as jobless of college graduate, recruitment for women, recruitment for elders etc. became social problem, there are many efforts of various public employment services and studies. The factors that affects the college graduate's employment type (regular, temporary, daily) can be used to guide employment and to prepare employment for college students. In analyzing large number of attributes and the huge amount of data elements, regular statistical methods faces their limitation; therefore, data-mining technique is more suitable for the dataset of about 170 attributes and 20,000 elements. We divide the factors that may affect the employment type into personal factor, school factor, company factor, and experience factor; decision tree algorithm is used to find out the interesting relationship between the attributes of the factors and employment type. Personal factors such as the income of parents and marital status were the most affective factors to the employment type. The learned decision tree was able to classify the employment type with 87% of accuracy. We also assume the level of the school affects the employment type of the graduates.

Citation status

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