Research On Civil Aviation Ticket Forecasting System Based On Bayesian Algorithm

With the continuous development of domestic civil aviation passenger transport,people living standards continue to improve.In the daily business activities or travel,the aircraft because of its convenience and efficiency,making the plane travel has become more and more users of choice.At the same time,people rely on the flight travel more and more high,in order to help passengers in the purchase of flight tickets to provide recommendations,this paper based on Bayesian algorithm of civil aviation ticket forecasting system,used to predict the required flight situation.The main contents are as follows:(1)The status quo of civil aviation ticket forecast and Bayesian algorithm is analyzed,and the practical significance of civil aviation ticket forecast is pointed out.(2)The basic theory and technical tools involved in the system are introduced,and the relationship between the civil aviation ticket forecast and the Bayesian algorithm is expounded.(3)For the civil aviation ticket forecasting system analysis,system design,system implementation and testing.Finally,the article summarizes and prospects.In this paper,Microsoft Visual Studio 2012 integrated development tools as a system development environment,combined with Microsoft SQL Server 2008 as a database management tool,using VB.NET language for server-side program development and data processing.Taking the ticket information of Changsha to Beijing as the research case,through the collection of the ticket historical data and analyzing and sorting the collected data,the Bayesian prediction algorithm is used to forecast the air ticket for the collected data and provide the webpage for the user to inquire the ticket forecast information.Through the system test and demonstration,it shows that the civil aviation ticket forecasting system can provide comprehensive forecast suggestions for the purchase of the required air tickets,so as to facilitate the travel of passengers.