• DocumentCode
    555158
  • Title

    Entropy based sensitive factor defining in data analysis

  • Author

    Zhang Shiyu ; Ma Liyi ; He Qin

  • Author_Institution
    Manage. Sch., Beijing Union Univ., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    20-22 Aug. 2011
  • Firstpage
    286
  • Lastpage
    288
  • Abstract
    Data analysis reflecting the social politics, economy, public opinion and the management of public sentiment, especially those in such areas based on questionnaire survey, often need to study the main factors affecting a problem. The traditional statistical analysis method is to count the factor which is selected most frequently among those influencing a question, which is dee me d as the most principal factors. But the principal factors are not necessarily sensitive factors, that is, a sensitive factor is not necessarily often highest selected factors. An entropy based method is proposed to determine the sensitive factors, and the analysis of multiple choices in questionnaire survey is selected for the empirical study, the calculation method of sensitive factors and its significance is discussed.
  • Keywords
    data analysis; economics; entropy; politics; social sciences; statistical analysis; data analysis; economy; entropy; public opinion; public sentiment; sensitive factor; social politics; statistical analysis; Data analysis; Educational institutions; Entropy; Force; Frequency measurement; Indexes; Statistical analysis; data analysis; entropy; sensitive factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8622-9
  • Type

    conf

  • DOI
    10.1109/ITAIC.2011.6030206
  • Filename
    6030206