Credit cards in a developing economy: a data mining approach
Ankit Mehrotra and
Reeti Agarwal
International Journal of Information and Decision Sciences, 2020, vol. 12, issue 4, 377-389
Abstract:
Usage of credit cards has been witnessing an increase in recent years in India. The study was undertaken to comprehend the effect of the different demographic characteristics of the respondents on credit cards owned by them. Findings indicate that friends/family members are most influential in affecting customer's knowledge of credit card. It was seen that for pitching more than one credit card, the group of customers that should be targeted are those with low income and in the age group 46-60 years.
Keywords: C%RT; credit cards; data mining; demographic variables; feature selection; gender; income; Indian customers; influencing medium; target group. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=110449 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:12:y:2020:i:4:p:377-389
Access Statistics for this article
More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().