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
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;
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
DOI :
10.1109/ICCIT.2007.18