Advanced search
Publication Cover
Journal of the Operational Research Society Volume 72, 2021 - Issue 5: Special Issue Data Science for Better Productivity
Submit an article Journal homepage
620
Views
4
CrossRef citations to date
0
Altmetric
Special Issue on Data Science for Better Productivity

A DEALG methodology for prediction of effective customers of internet financial loan products

Weiwei Zhua Research Center of Information Industry Integrated Innovation and Emergency Management, School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China;b School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, ChinaView further author information
,
Bingqing Liuc School of Management, Nanjing University of Posts and Telecommunications, Nanjing, ChinaView further author information
,
Zifang Luc School of Management, Nanjing University of Posts and Telecommunications, Nanjing, ChinaView further author information
&
Yu Yud College of Auditing and Evaluation, Nanjing Audit University, Nanjing, ChinaCorrespondence[email protected]
View further author information
Pages 1033-1041 | Received 23 Jan 2019, Accepted 04 Nov 2019, Published online: 27 Jan 2020

Citations (4)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Vincent Charles, Juan Aparicio & Joe Zhu. (2021) Data science for better productivity. Journal of the Operational Research Society 72:5, pages 971-974.
Read now

Articles from other publishers (3)

Min Hu, Qiao Li & Ling Pan. (2022) An Intelligent Decision Framework for Loan Allocation Schemes. Journal of Circuits, Systems and Computers 31:14.
Crossref
Wenjing Yan, Hong Wang, Min Zuo, Haipeng Li, Qingchuan Zhang, Qiang Lu, Chuan Zhao & Shuo Wang. (2022) A Deep Machine Learning-Based Assistive Decision System for Intelligent Load Allocation under Unknown Credit Status. Computational Intelligence and Neuroscience 2022, pages 1-8.
Crossref
Yu Shi, Anyu Yu, Huong Ngo Higgins & Joe Zhu. (2020) Shared and unsplittable performance links in network DEA. Annals of Operations Research 303:1-2, pages 507-528.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.