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Comprehensive and Comparative Study of Efficient Location Tracking Based on Apriori and Dijkstra Algorithms

  • D. Venkata SubramanianEmail author
  • R. Sugumar
  • N. Dhipikha
  • R. Vinothini
  • S. Kavitha
  • A. Harsha Anchaliya
Conference paper
  • 35 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)

Abstract

With the advent of Google maps, pointing the precise location and tracking the movement of objects, people and materials have become an integral part of SCM System. The ERP systems include Logistics and Management as core functionalities along with Artificial Intelligent Systems to facilitate positioning and tracking of materials. Similar to material tracking, it is also important to track the location and movement of the person which is a huge demand in present era. However, the designers of such larger ERP systems use patented protocols for material location identification, predicting the shortest distance and tracking the precise location of cargo when they are on the move. The similar techniques neither fully adopted nor applied with humans. This research paper is aimed at finding out the most efficient route by comparing the most popular Apriori and the Dijkstra algorithms. Apriori algorithm involves supervised mining using association rules which can be used for finding right paths whereas the same can be estimated by the Dijkstra’s algorithm, taking the connecting nodes in the graph.

Keywords

Supply chain management ERP Apriori algorithm Dijkstra’s algorithm Location tracking Dataset Prediction Location Tracking Database GPS Notification 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • D. Venkata Subramanian
    • 1
    Email author
  • R. Sugumar
    • 1
  • N. Dhipikha
    • 1
  • R. Vinothini
    • 1
  • S. Kavitha
    • 1
  • A. Harsha Anchaliya
    • 1
  1. 1.Department of Computer Science and EngineeringVelammal Institute of TechnologyChennaiIndia

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