Applying Data Mining in order to Motivate Inclusive Finance

DOI

10.2991/hsmet-19.2019.3How to use a DOI?

Keywords

inclusive finance; data mining; agriculture、rural & farmers issue

Abstract

Without doubt, administering inclusive financial assistance to relieve the poor of poverty has been put under spot light recently. This present study itry to apply data mining, cloud computing, artificial intelligence and financial technologies to promote the project of inclusive finance in rural areas to help the financially disadvantaged groups. While implementing inclusive finance in rural areas, both supply and demand sides should be considered in order to form a comprehensive development of inclusive finance. Through administering financial services in poor and remote areas can benefit the financial disadvantaged groups in rural areas in the long run.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Che-Chang Chang
AU  - Fang-Tzu Chen
PY  - 2019/07
DA  - 2019/07
TI  - Applying Data Mining in order to Motivate Inclusive Finance
BT  - Proceedings of the 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019)
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-19.2019.3
DO  - 10.2991/hsmet-19.2019.3
ID  - Chang2019/07
ER  -