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The Analytical CRM OLAP Analysis Tools and Data Mining Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Clustering Based Algorithmic Design for Cab Recommender System (CRS)

Authors : Supreet Kaur Mann, Sonal Chawla

Published in: ICT Analysis and Applications

Publisher: Springer Singapore

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Abstract

An efficient Cab Recommender System (CRS) assists the cab drivers with the shortest distance for the next passenger location. For this, it becomes imperative for a CRS to generate clusters for Geolocations. Clustering of Geolocations faces major challenges like noise, identification of meaningful clusters, semantic locations, etc. Therefore, the objectives of this research paper are fourfolds. Firstly, to extensively review the literature for Geolocations and identify the existent clustering techniques. Secondly, to propose an algorithm for generating clusters for Geolocations. Thirdly, to implement and test the proposed algorithm on standard dataset pertaining to different clustering techniques and finally, to analyze and compare the results of the proposed algorithm for effective clustering of Geolocations.

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Metadata
Title
Clustering Based Algorithmic Design for Cab Recommender System (CRS)
Authors
Supreet Kaur Mann
Sonal Chawla
Copyright Year
2020
Publisher
Springer Singapore
Book
ICT Analysis and Applications

Print ISBN: 978-981-15-0629-1

Electronic ISBN: 978-981-15-0630-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0630-7_35