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Full-Text Articles in Technology and Innovation
Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu
Chapter Xii: A Comparison And Scenario Analysis Of Leading Data Mining Software, John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we …
Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi
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 …
Building Data Warehouses Using The Enterprise Modeling Framework, Joseph O. Chan
Building Data Warehouses Using The Enterprise Modeling Framework, Joseph O. Chan
Journal of International Technology and Information Management
This paper proposes an enterprise modeling framework for the deployment of data warehouses. The framework provides the information roadmap coordinating source data and different data warehouses across the business enterprise. The paper introduces a solution to address data warehousing issues at the enterprise level while avoiding the pitfalls of creating enterprise data warehouses and universal data marts. It further proposes a change of paradigm from point solutions focus to a methodology driven by enterprise requirements to meet the challenges of the new economy. The proposed framework emphasizes the separation of the conceptual construct from the physical and operational constructs of …