Titlebook: Knowledge Discovery for Business Information Systems; Witold Abramowicz,Jozef Zurada Book 2002 Springer Science+Business Media New York 20

幻想

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放氣

consent

Little

Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Supporr the analysis of large amounts of data to be used for a more realistic business decision support. We concentrate on the issue of how to measure the goodness of a linguistic summary, and on how to embed data summarization within the fuzzy querying environment, for an effective and efficient computer

深淵

Integrating Data Sources Using a Standardized Global Dictionary,operly. Most organizations have several data systems that must work together. As data warehouses, data marts, and other OLAP systems are added to the mix, the complexity of ensuring interoperability between these systems increases dramatically. Interoperability of database systems can be achieved by

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Amalgamation of Statistics and Data Mining Techniques: Explorations in Customer Lifetime Value Modend ultimately actionable models for business problems. We show how accurate, but not-so-transparent, models built by data mining algorithms (like neural networks) can be understood—and the interesting patterns captured in these models appropriately used in a business context—by bringing to bear stat

Gudgeon

Robust Business Intelligence Solutions,nd productionalisation of data mining. The ideas presented come mostly from the author’s experience with implementations of large Business Intelligence projects at the Bank of Montreal. Some of these projects have won major international awards and recognition for unique, integrated, well performing