IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Credit Card Users' Data Mining

Credit Card Users' Data Mining
View Sample PDF
Author(s): André de Carvalho (USP Sao Carlos, Brazil), Antonio P. Braga (UFMG, Brazil)and Teresa Ludermir (UFPE, Brazil)
Copyright: 2008
Pages: 4
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch149

Purchase

View Credit Card Users' Data Mining on the publisher's website for pricing and purchasing information.

Abstract

The widespread use of databases and the fast increase in the volume of data they store are creating problems and new opportunities for credit companies. These companies are realizing the necessity of making efficient use of the information stored in their databases, extracting useful knowledge to support their decision-making processes.

Related Content

Md Sakir Ahmed, Abhijit Bora. © 2024. 15 pages.
Lakshmi Haritha Medida, Kumar. © 2024. 18 pages.
Gypsy Nandi, Yadika Prasad. © 2024. 16 pages.
Saurav Bhattacharjee, Sabiha Raiyesha. © 2024. 14 pages.
Naren Kathirvel, Kathirvel Ayyaswamy, B. Santhoshi. © 2024. 26 pages.
K. Sudha, C. Balakrishnan, T. P. Anish, T. Nithya, B. Yamini, R. Siva Subramanian, M. Nalini. © 2024. 25 pages.
Sabiha Raiyesha, Papul Changmai. © 2024. 28 pages.
Body Bottom