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Recent years, with the increasingly fierce competition and the financial crisis, in major airline companies have appeared under the environment of excess capacity, how to ensuring the rate of passenger seat at the same time avoiding the blind price war became a major airline companies mostly activity concerned. The air tickets e-commerce, more and more become a relatively rational choice, but how to use electronic commerce as a powerful weapon, and avoid becoming victims of price war, is becoming the future study concerned.This paper gives a brief introduction to aviation market research background, the system, the theory and recent research status. Mainly use "Chao Zhi Tian Xia" as an example. Firstly, based on the use of traditional classification methods of air passengers, and in the light of the specific conditions of the system, system characteristic attributes of extraction and proper preprocessing. Secondly, in the fuzzy age of passengers, through the general distribution system for passenger, using pattern recognition method of system, and customer segmentation to find all ages, each season, the passengers and distribution characteristics of system and to a certain extent. Then, using the characteristics of distribution and revenue management, focus on the customer characteristics of those people who did not accept the matching , introducing passenger distribution characteristics of attribute, this paper for classification results and system matching effect analysis and inspection. Finally, based on the practical significance and the matching, and puts forward the research results on a field of aviation, mature, leisure travelers for low covalence ticketing system matching improvement scheme.
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