Location-aware agent using data mining for the distributed location-based services

  • Authors:

  • Jaewan Lee;Romeo Mark A. Mateo;Bobby D. Gerardo;Sung-Hyun Go

  • Affiliations:

  • School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea

  • Venue:
  • ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
  • Year:
  • 2006

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Abstract

Currently, one of the popular topics of research is location-awareness. Adding this function to location-based services provides necessary information to the user within the location to be aware of the user's position. But some LBS have insufficiencies of providing relevant information to the mobile subscriber. In this research, we proposed a location-aware agent that interacts with the LBS and provides location-aware service by adding a of data mining task. This agent extracts additional information by deploying a mobile agent in the database of LBS and mines the data. To make our approach efficient, we used a data mining method that extracts the relevant information according to the user agent profiles. This enables the proposed system to select information and summarizes the result of location-aware data for the user.