Title: Maximising the efficiency of keyword analytics framework in wireless mobile network management

Authors: K. Geetha; A. Kannan

Addresses: Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India ' Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India

Abstract: Nowadays, data analytics in spatial database objects are associated with keywords. In the past decade, searching the keyword was a major focusing and active area to the researchers within the database server and information retrieval community in various applications. In recent years, the maximising the availability and ranking the most frequent keyword items evaluation in the spatial database are used to make the decision better. This motivates to carry out research towards of closest keyword cover search, which is also known as fine tuned keyword cover search methodology; it considers both inter object distance and keyword ranking of items in the spatial environment. Baseline algorithm derived in this area has its own drawbacks. While searching the keyword increases, the query result performance can be minimised gradually by generating the candidate keyword cover. To resolve this problem a new scalable methodology can be proposed in this paper.

Keywords: information retrieval; keyword searching; nearest neighbour; point of interest; spatial database.

DOI: 10.1504/IJENM.2020.106314

International Journal of Enterprise Network Management, 2020 Vol.11 No.2, pp.189 - 207

Received: 08 Sep 2018
Accepted: 24 Mar 2019

Published online: 06 Mar 2020 *

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