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

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Optimising the Mobile Cab Rental System App using Data Mining Techniques: SURVEY PAPER
Author(s):
S Swathi Rao, Dr S Krishna Mohan Rao
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.
Article Details
Unique Paper ID: 150829 Publication Volume & Issue: Volume 7, Issue 10 Page(s): 100 - 104
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