DATA WAREHOUSING DATA MINING AND OLAP ALEX BERSON PDF

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Please enable cookies in your browser to get the full Trove experience. Skip to content Skip to search. Berson, Alex. Language English. Other Authors Smith, Stephen J.

Physical Description xxvi, p. Data mining. Online data processing. Contents Ch. Introduction to Data Warehousing Ch.

Parallel Processors and Cluster Systems Ch. Data Warehousing Components Ch. Building a Data Warehouse Ch. Metadata Ch. Reporting and Query Tools and Applications Ch. Patterns and Models Ch. Statistics Ch. Artificial Intelligence Ch. Introduction to Data Mining Ch. Decision Trees Ch. Neural Networks Ch. Nearest Neighbor and Clustering Ch. Genetic Algorithms Ch. Rule Induction Ch. Selecting and Using the Right Technique Ch.

Data Visualization. Putting It All Together App. Notes Includes bibliographical references and index. View online Borrow Buy Freely available Show 0 more links Set up My libraries How do I set up "My libraries"? Bathurst Campus Library. Open to the public ; Macquarie University Library. Open to the public ; QA None of your libraries hold this item.

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Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management)

October September RSS Feed. Smith Computing McGraw-Hill , focuses on data delivery as a top priority in business computing today. The authors use the forward to specify the three areas of data warehousing to be covered in the book as 1 bringing data necessary for enhancing traditional information presentation technologies into a single source, 2 supporting online analytical processing OLAP , and 3 the newest data delivery engine, Data Mining. Lightroom 3. Subliminal Flash 3. January 21,

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Data Warehousing, Data Mining & OLAP

Authors: Alex Berson and Stephen J. Smith Computing McGraw-Hill , focuses on data delivery as a top priority in business computing today. The authors use the forward to specify the three areas of data warehousing to be covered in the book as 1 bringing data necessary for enhancing traditional information presentation technologies into a single source, 2 supporting online analytical processing OLAP , and 3 the newest data delivery engine, Data Mining. Each part goes into a tremendous amount of detail starting general and moving to the specific, detailing at least five long chapters within each section. This section builds a tremendous foundation of warehousing technology by detailing hardware architectures, multiprocessing architectures, and RDBMS features and solutions. The second section, Data Warehousing, begins by detailing data warehousing components and the processes of building a data warehouse.

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