Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Decision Support in the Data Warehouse
Decision Support in the Data Warehouse
Industry: database marketing and web mining
Handbook of data mining and knowledge discovery
Data And Text Mining: A Business Application Approach
Data And Text Mining: A Business Application Approach
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Data mining has been used successfully for a number of years in the private and public sectors in a broad range of applications. In the private sector, these applications include customer relationship management, market research, retail and supply chain analysis, medical analysis and diagnostics, financial analysis, and fraud detection. In the government, data mining was initially used to detect financial fraud and abuse. Decision making processes for managing and defining policies related to social and environmental impacts from industry are becoming more and more complex. Thus, there is a need to integrate the available information within a structured network and to design a decision support system suitable for helping decision makers to define sustainable policies. Data warehousing, data mining, online analytical processing (OLAP) - these terms dominate discussions of enterprise decision support systems (DSS). This paper discuss a comparative study, from business decision support point of view, intelligent data analysis approaches; namely online analytical processing (OLAP), Data warehousing and data mining.