• DocumentCode
    2628016
  • Title

    Marketing Audit of Chinese Enterprises Based on SVRM and Random Variable Sum Model

  • Author

    Che Cheng ; Tang Shoulian

  • Author_Institution
    Beijing Univ. of Posts & Telecommun, Beijing
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    1638
  • Lastpage
    1643
  • Abstract
    To the marketing characteristics of Chinese enterprises, this paper applies a Chinese enterprises´ marketing audit model. In the process of marketing audit, the sensitive problems and the quantitative analysis of marketing audit are two main keys and difficulties. To solve the two problems, this paper brings forward a model based on support vector regression machine (SVRM) and random variables sum model. In the random variables sum model, the standard normal distribution function is used. This paper also analyzed the companies in IT industry of Qingdao. The experimental results demonstrate that the model based on support vector regression machine (SVRM) and random variables sum model can solve the two problems effectively.
  • Keywords
    auditing; marketing; normal distribution; random processes; regression analysis; Chinese enterprises; marketing audit; random variable sum model; standard normal distribution function; support vector regression machine; Channel hot electron injection; Companies; Gaussian distribution; Information technology; Local government; Protection; Random number generation; Random variables; TV; Telegraphy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.18
  • Filename
    4420488