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Titlebook: Data Warehousing and Knowledge Discovery; 13th International C Alfredo Cuzzocrea,Umeshwar Dayal Conference proceedings 2011 Springer-Verlag

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Günter Enderle,Klaus Kansy,Günther Pfaffuctured data and (iv) coverage facts. The proposed enhancements, including a rebuilt generation algorithm, allow more accurate and broadening results than the original DTA. Throughout the paper, references are made to a real case study to which the improved DTA has been applied using two developed prototype tools.
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Günter Enderle,Klaus Kansy,Günther Pfaffgies to the peculiarities of data warehouse projects. The principles underlying 4WD are risk-based iteration, evolutionary and incremental prototyping, user involvement, component reuse, formal and light documentation, and automated schema transformation.
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https://doi.org/10.1007/978-1-84882-470-6ed as a .. Then, we discuss how to . them in order to . (i.e., collapse) several SQL queries into a single characterization (representing the analytical session), according to their logical connections.
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Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WDgies to the peculiarities of data warehouse projects. The principles underlying 4WD are risk-based iteration, evolutionary and incremental prototyping, user involvement, component reuse, formal and light documentation, and automated schema transformation.
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