This paper is published in Volume-5, Issue-3, 2019
Area
Computer Science and Engineering
Author
S. Jayaprada, M. Srilatha
Org/Univ
Gudlavalleru Engineering College, Vijayawada, Andhra Pradesh, India
Pub. Date
23 May, 2019
Paper ID
V5I3-1450
Publisher
Keywords
Next place prediction, Previous location, Global Positioning System, Mobile communication, Mobile data mining

Citationsacebook

IEEE
S. Jayaprada, M. Srilatha. Next location prediction using Google API, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
S. Jayaprada, M. Srilatha (2019). Next location prediction using Google API. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
S. Jayaprada, M. Srilatha. "Next location prediction using Google API." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

The technological advances in smart phones and their widespread use has resulted in the big volume and varied types of mobile data which we have today. Location prediction through mobile data mining leverages big data applications such as traffic planning, location-based advertising, intelligent resource allocation. This paper focused on the challenging problem of predicting the next location of a mobile user given data on his or her current location. In this paper, we proposed Next Location- a personalized mobile data mining framework. In addition, the proposed framework represents a new paradigm for privacy-preserving as the mobile phone data is not shared without user permission. The prediction task consists of using such data to know and understand the user's current location.