Data Mining & Warehousing


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This book has numerous features that make it a winner, the order of topics is very logical, the choice of topics is quite appropriate for a comprehensive introductory book. The subject matter is logically structured, with chapters covering essential components of the data mining and warehousing field. The sequence of topics is well planned to provide a seamless transition from design to implementation. Within Each Chapter, the continuity of topics is excellent. The figures appropriately enhance and amplify the topics. The exercises can be found at the end of Each Chapter table of content1 – data warehousing – multidimensional data model3 – data warehousing architecture4 – online analytical processing – data warehouse implementation6 – data warehouse back-end tools and utilities7 – data mining8 – applications and trends in data mining.

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