期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5015-5019
出版社：TechScience Publications
摘要：This paper presents a comprehensive statistical experiment to identify the travel patterns by analysing passport and visa database. This study, provide information about the choice of destination of Indian travellers, they choose for the fulfilment of their specific purpose. Data mining system discovers patterns and relationships hidden in data, and actually is a part of a larger process called “knowledge discovery” which describes the steps that must be taken to ensure meaningful results. The presented work focus on implementing different data mining approaches on passport database which is simulated from embassy and visa database. This paper combines two major approaches to discover travel patterns by association rules and then validate this result with the result comes from another research work. In that research work travel patterns was discovered by using clustering in data mining. According to defined approach, association rule technique is applied on the simulated primary database of passport and visa, to discover the travel patterns in different segments. These segments are already found out in previous research work. After discovering travel patterns via association rules, its result will compare from the result of discovering travel pattern via clustering, which are already find out in previous research work. So this step will validate the result of this research work also.
