数据挖掘工具在商业银行网络风险管理中的作用

A. Alshehadeh, G. Elrefae, Haneen A. Al-Khawaja, B. Bagustari, S. Eletter, Abdelhafid Belarabi
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引用次数: 2

摘要

本研究探讨了数据挖掘工具在安曼证券交易所上市的约旦商业银行网络风险管理中的作用。对13家商业银行的信息技术和银行风险管理人员(n=139)进行标准化问卷调查。数据挖掘工具在网络风险管理中对知识系统的发现、传播和参与,以及通过开发研究环境和数据检索系统来改进知识系统的机会产生了重大影响。本研究强调需要寻找改进的领域,会影响效率的使用数据挖掘工具的发现、传播、和共享知识的系统来管理网络风险,以及需要结合数据挖掘技术和使用他们的认知能力和技术的概念与必要的方法和工具来提高银行的知识文化和提供所有必要的数据存储和仓库新知识的形成,这将有助于在安曼证券交易所上市的约旦银行发展网络风险管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Data Mining Tools in Commercial Banks' Cyber-Risk Management
This study explored the data mining tools role in cyber-risk management among Jordanian commercial banks listed on the Amman Stock Exchange. A standardized questionnaire was distributed to the information technology and bank risk management staff (n=139) in 13 commercial banks. There were significant effects of data mining tools in cyber-risk management on the discovery, dissemination, and participation of knowledge systems, and on opportunities to improve knowledge systems through the development of the environment for study and data retrieval systems. This study emphasizes the need to look for areas of improvement that would affect the efficiency of using data mining tools in the discovery, dissemination, and sharing of knowledge systems to manage cyber risks, as well as the need to combine data mining technology with to use their cognitive abilities and technical concepts with the necessary methods and tools to improve the bank's knowledge culture and to provide all necessary data stores and warehouses for the formation of new knowledge, which would help in the development of cyber risk management in Jordanian banks, which are listed on the Amman Stock Exchange.
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