NDLI: Applying Posterior Probability Support Vector Machine to Evaluate the Market Adaptability of the Product of Tourism Agency

Content Provider	IEEE Xplore Digital Library
Author	Chu Yang-jie Wang Xian-jia Wu Xiu-jun
Copyright Year	2006
Description	Author affiliation: lnst. of Syst. Eng., Wuhan Univ. (Chu Yang-jie; Wang Xian-jia; Wu Xiu-jun)
Abstract	The product of the tourism agency can be divided into two classes of the pushing product and the pulling product. It is the very pivotal and significative step of product designing to evaluate the market adaptability of pushing product of the tourism agency. The paper studies the corner of the tour product market and illuminates that the rootstock is insufficient pushing product market adaptability analysis of the tourism agency. The product market adaptability analysis is regarded as a pattern recognition problem of two categories that the product is well adaptability or not the first time. A method based on the posterior probability support vector machine (PPSVM) is applied to evaluate the market adaptability of the product of the tourism agency after comparing the existing analysis method. In the last the technique is proved valid using demonstration analysis and the PPSVM model has the better average prediction accuracy and generality than the other models discussed in literature
Starting Page	658
Ending Page	662
File Size	5246367
Page Count	5
File Format	PDF
ISBN	1424404509
DOI	10.1109/ICSSSM.2006.320540
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Product design Pattern recognition Support Vector Machine Vehicles Market Adaptability Evaluation Support vector machines Accuracy Tourism Agency's Product Software quality Systems engineering and theory Hardware Pattern analysis Posterior Probability
Content Type	Text
Resource Type	Article

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