Improving retail banking loans recovery via data mining techniques : a case study from Indian market
Year of publication: |
2015
|
---|---|
Authors: | Ravi, Vadlamani ; Koparkar, Sagar ; Raju, N. Prudhvi ; Sridher, S. |
Published in: |
International journal of electronic customer relationship management : IJECRM. - Genève : Inderscience Publ., ISSN 1750-0664, ZDB-ID 2422795-X. - Vol. 9.2015, 2/3, p. 189-201
|
Subject: | loan recovery | data mining | text mining | logistic regression | multilayer perceptron | CART | Data Mining | Data mining | Indien | India | Text | Kreditgeschäft | Bank lending |
-
When words sweat : identifying signals for loan default in the text of loan applications
Netzer, Oded, (2019)
-
Mining semantic soft factors for credit risk evaluation in peer-to-peer lending
Wang, Zhao, (2020)
-
The value of text for small business default prediction : a deep learning approach
Stevenson, Matthew, (2021)
- More ...
-
Some aspects of tribal development : a case study of Dahanu Taluk, Maharashtra
Koparkar, Sagar, (1998)
-
Money and Finance in the Indian Economy
Koparkar, Sagar, (1999)
-
Advances in banking technology and management : impacts of ICT and CRM
Ravi, Vadlamani, (2008)
- More ...