Clustering Analysis for Credit Default Probabilities in a Retail Bank Portfolio

Clustering Analysis for Credit Default Probabilities in a Retail Bank Portfolio

Methods underlying cluster analysis are very useful in data analysis, especially when the processed volume of data is very large, so that it becomes impossible to extract essential information, unless specific instruments are used to summarize and structure the gross information. In this context, cl...

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Bibliographic Details
Main Authors: Elena ANDREI (DRAGOMIR), Adela BÂRA, Adela Ioana TUDOR
Format: Article
Language:English
Published: Bucharest University of Economic Studies 2012-08-01
Series:Database Systems Journal
Subjects:
Data Mining
Cluster Analysis
Artificial Intelligence
Online Access:http://www.dbjournal.ro/archive/8/8_3.pdf

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