Optimising the Mobile Cab Rental System App using Data Mining Techniques: SURVEY  PAPER

S Swathi Rao; Dr S Krishna Mohan Rao

Optimising the Mobile Cab Rental System App using Data Mining Techniques: SURVEY PAPER

Authors: S Swathi Rao, Dr S Krishna Mohan Rao

Unique Paper ID: 150829
Volume: 7
Issue: 10
PageNo: 100-104

Keywords: Fuzzy rule based classification systems; big data; map Reduce; Hadoop; Rules fusion JUPITER SIMULATON TOOL.

Abstract:
This study aims to explore and review the data mining and machine learning technologies adopted in research and industry to attempt to overcome the direct and indirect traffic issues on humanity and societies. This study has found that there is no standard traffic management approach that the community of traffic management has agreed on. This study is important to the traffic research communities, traffic software companies, and traffic government officials. It has a direct impact on drawing a clear path for new traffic management propositions. This study is one of the largest studies with respect to the size of its reviewed articles that were focused on data mining and machine learning. Additionally, this study will draw general attention to a new traffic management proposition approach. this study shows how mobile app is used to hire rental mobile can by using app. this is proposed by data mining and machine learning techniques.

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Cite This Article

ISSN: 2349-6002
Volume: 7
Issue: 10
PageNo: 100-104

Optimising the Mobile Cab Rental System App using Data Mining Techniques: SURVEY PAPER

Available:https://ijirt.org/Article?manuscript=150829

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Journal no 47859

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