The goal of this study is to review data mining techniques used for analyzing bank customers in order to help the banks to better identify their customers.
Dec 12, 2018 · DM techniques can help a company to discover and extract useful information from their data warehouses, which cannot be discovered directly.
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Jenabi G, Mirroshandel SA. Using data mining techniques for improving customer relationship management. European Online Journal of Natural and Social Sciences: ...
The aim of this paper is to detect and find out risk in sanctions of loan of banks. The approach here applying data mining methods on particular data set on ...
Missing: analyzing survey.
This paper aims to study the issues of Customer Relationship Management through data mining in the Data-Intensive Cloud Computing environment.
Aug 25, 2020 · The goal of this study is to identify and characterize data mining and machine learning techniques used for bank customer segmentation.
Missing: analyzing survey.
Jul 12, 2020 · Bank executives by using Data mining technique can also analyze the behavior and reliability of the customers while selling credit cards too.
In this paper, basic concepts, advantages, limitations and Data Mining applications in various industries and the banking industry, especially in the areas of ...
This paper investigates the effectiveness of four techniques in data mining on the bank direct marketing. They are: back propagation of neural network (MLPNN), ...
Missing: survey. | Show results with:survey.
The aim of this paper is to detect and find out risk in sanctions of loan of banks by applying data mining methods on particular data set on current ...
Missing: survey. | Show results with:survey.