Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{150829,
        author = {S Swathi Rao and Dr S Krishna Mohan Rao},
        title = {Optimising the Mobile Cab Rental System App using Data Mining Techniques: SURVEY  PAPER},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {10},
        pages = {100-104},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150829},
        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. },
        keywords = {Fuzzy rule based classification systems; big data; map Reduce; Hadoop; Rules fusion, JUPITER SIMULATON TOOL.},
        month = {},
        }