Research Paper | Economics | China | Volume 8 Issue 9, September 2019
Data Mining Techniques in E-Commerce
Abdugofur Temirov, Ren Dongxiao
This paper discusses the important role of business based on Data-Mining knowledge development to detection the relation of Data-Mining and E-commerce. Moreover, some applications, benefits and challenges in this case. E-commerce processes and Data-Mining tools have revolutionized many companies. Data-Mining is a form of business intelligence and data analysis. It is the process of analyzing data to draw useful conclusions or predictions from it. It is technique frequently adopted by large-scale E-commerce businesses to aid with marketing and product development.
Keywords: Data-Mining DM, E-commerce
Edition: Volume 8 Issue 9, September 2019
Pages: 117 - 128
How to Cite this Article?
Abdugofur Temirov, Ren Dongxiao, "Data Mining Techniques in E-Commerce", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2020929, Volume 8 Issue 9, September 2019, 117 - 128
254 PDF Views | 192 PDF Downloads
Similar Articles with Keyword 'E-commerce'
Research Paper, Economics, Vietnam, Volume 3 Issue 8, August 2014
Pages: 1675 - 1678Strategic Business Analysis of Nguyen Kim Electronic Supermarket
Bui Quang Huy, Hoang ChuDuc
Research Paper, Economics, China, Volume 4 Issue 9, September 2015
Pages: 384 - 386An Analysis on the Influence of E-commerce on China?s International Economic Trade and Relevant Strategies
Kunyu SHEN
Survey Paper, Economics, India, Volume 4 Issue 12, December 2015
Pages: 898 - 903Growth of Home Shopping Websites and Consumers? Preferences: With Special Reference to Kokrajhar District
Dhruba Jyoti Nath
Research Paper, Economics, India, Volume 8 Issue 2, February 2019
Pages: 1879 - 1884A Study of Customer Perception towards E-Banking - In Indore City of Madhya Pradesh
Dr. R. K. Vipat
Research Paper, Economics, China, Volume 8 Issue 9, September 2019
Pages: 117 - 128Data Mining Techniques in E-Commerce
Abdugofur Temirov, Ren Dongxiao