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
Link To Document