Design And Implementation Of Ticket Price Prediction System

With the rapid development of socialization, people from all walks of life have been enjoying better lives than before. During business activities and occasional journey, traveling by air has become the first option by many people because of the convenience. Meanwhile, people could book plane tickets online anytime and anytime. Most people believe the earlier they book the tickets, the more discount they will enjoy. As a matter of the fact, chances are that you will buy the cheapest ticket the moment the plane is about to taking off.In order to help people buy the plane tickets with the lowest price, we have developed this set of predicting system, the mechanism of which is that we collect relative information of ticket price from every airline via Web crawler and predict the trends right after the statistical analysis is performed, thus assisting customers choose the right time to buy tickets.For the reason that we only focus on the specific area of plane tickets, searching engines like Baidu and Google can’t meet our needs, so we need a more professional and specific searching program, we call it vertical search technology. In view of the huge amount of statistics, we take the famous HBase distribute database as our background database to do the data processing.In a real way, the system obtain a clear objective by making analysis of the demands of customers and function in detail, then we design the system structure, the functional structure,and the database. This system encodes every structure by using Netbeans develop environment, Java as develop language, and B/S architecture.By the realization of palne tickets predicting system, we have obtain profound knowledge of current big data processing mode, and achieve the previous target of develop software, not to mention the great practical significance of this exploitation.