Discovering Travel Pattern in Passport Data Analysis.

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 provide profiling of travellers and discovering travel pattern via clustering. According to defined approach, clustering is implemented to profile travellers according to the visa service which was granted by different embassy to the travellers. In this work, a no of different segments are formed on the basis of type of travellers who are travels from one country to another. Travellers are grouped into different clusters according to their profession. [ABSTRACT FROM AUTHOR]