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Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

2007

Business

Quantitative

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

The Role Of Quantitative Analysis In The Information Security Systems Development Lifecycle, Stephen R. Rosenkranz, Michael E. Busing, Faye P. Teer, Karen A. Forcht Jan 2007

The Role Of Quantitative Analysis In The Information Security Systems Development Lifecycle, Stephen R. Rosenkranz, Michael E. Busing, Faye P. Teer, Karen A. Forcht

Journal of International Technology and Information Management

Today’s numerous Quantitative Analysis (QA) tools have been successfully utilized to solve business problems in diverse applications. However, the application of QA tools in solving information security problems has been sparse. Devising the means and ways to use QA tools in resolving industry-wide security problems has the potential to yield enormous global economic benefit. The purpose of this paper is to explore the use of QA tools as a means of improving the processes involved in the Information Security Systems Development Lifecycle (SecSDL). Information security professionals use the SecSDL as a guide for formulating a comprehensive information security program. The …


Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi Jan 2007

Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi

Journal of International Technology and Information Management

Consumer credit is ubiquitous and lending poses credit risk – the risk of economic loss due to the failure of a borrower to repay according to the terms of his or her contract with the lender. And so, managing credit risk entails estimating the potential ability of borrowers to repay their debts. Researchers have sought to identify factors that contribute to consumer risk, by using quantitative models. However, the presence of data mining techniques to identify credit risk cannot be ignored. There is a paucity of research to demonstrate the use of data mining techniques in this context, and such …