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A distributed intelligent mobile application for analyzing travel big data analytics

  • L. Maria Michael VisuwasamEmail author
  • D. Paul Raj
Article
  • 25 Downloads
Part of the following topical collections:
  1. Special Issue on AI-based Future Intelligent Internet of Things

Abstract

Data mining and data analytics is promptly growing filed due to the incredible development of Big-Data. One of the financial supporting and economic strength of any government industries is tourist and development. This paper motivated to provide a good solution in social point of view to increase the economical strengths of the country. Some of the existing research works have been proposed a semi-automatic web application for guiding tourist people, but the customer satisfaction is not good. To improve the customer satisfaction, and make use of it, to improve the tourist and development industry, this paper introduced a Cloud Based Distributed algorithm named “I Guide You - (IGY)” is designed and developed as a Mobile Application. In order to access IGY at anywhere by anyone, it is designed as a parallel and distributed algorithm for improving the efficiency in terms of serving to the users. IGY is a peer-to-peer network application, since any device can directly communicate with other device in the network. All the devices connected in the IGY are share equal responsible processing the data. IGY can also be executed parallelly on every mobile device over peer to peer network on distributed travel data available in the internet. The target-location information obtained from distributed cloud, shared and served to multiple processors executing IGY parallelly. IGY is developed as a tourist assistance application anywhere based on internet with N-tier architecture. The experimental results obtained from IGY is comparing with the existing approaches and the performance is evaluated.

Keywords

Big data Data analytics Tourist data processing Data mining Google data Google map 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringRajalakshmi Institute of technologyChennaiIndia
  2. 2.Department of Computer Science and EngineeringR. M. D. Engineering CollegeChennaiIndia

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