Business Analytics for Effective Decision Making

Author(s): Kavya Shabu and R. Vasanthagopal * .

DOI: 10.2174/9789815238365124010005

Data Mining in Banks: A Bibliometric Analysis

Pp: 23-36 (14)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

Overview: Banking is the core influencing unit of the economy and over the years, the banking system has evolved from digitalization to the management information system, enabling complex blockchain technology and fintech to take the lead. Data mining is a process within the management information system that enables the banks in decision-making. Data warehousing and data mining are now common processes in every industry to efficiently implement customer relationship management.

Purpose: The purpose of the study is to analyse the trend, author origin, keywords(DE) and relevant sources to this field. This is done through the identification of best sources of journals based on Bradford’s Law and source citation index, relevant keywords according to thematic mapping, thematic evolution and also analyzing clusters through network and overlay visualization.

Approach of the Study: The study is conducted by accumulating data from the database SCOPUS and 366 records were found for further analysis after the application of required filters. The extracted file was further run in Biblioshiny and Vosviewer for analysis.

Paper Type: Analytical Paper.

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