NMA: integrating big data into a novel mobile application using knowledge extraction for big data analytics

Abstract

Indian tourist management system is one of the growing and emerging areas where it increases the economic status of a country by enlightening the overseas people’s entry. The foremost objective of this study is to design and implement a mobile application for travelers in order to provide a better guide to save time, cost and increase their satisfaction. In the existing system the author statically and offline based data aggregation for creating a travel sequences. This travel sequence recommendation is not efficient in terms of cost and time. Hence, it is motivated to improve the traveler’s satisfaction by providing a self-experience and self-guidance through a novel mobile application (NMA). NMA utilizes various data mining procedures like data analytics, data classification, data management and data mining. In accordance with data, the entire information about the tourist places, their geographical locations, and direction to travel, distance to travel from the traveling place, approximate cost and time taken to travel with surrounding facilities are taken from the Google database for modeling the application. It is experimented in Android Software based on JAVA platform and the results are verified. From the obtained results it is clear and noticed that the efficacy of this NMA is more accurate in terms of information extraction.