• • Title • Data warehousing, data mining, and OLAP /​ Alex Berson, Stephen J. Also Titled • Data warehousing, data mining &​ OLAP Author • Berson, Alex. Other Authors • Smith, Stephen J. Published • New York: McGraw-Hill, c1997. Physical Description • xxvi, 612 p.: ill.; 25 cm. Series • Subjects • • • Contents • Ch. Introduction to Data Warehousing • Ch.

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Here is perfect explanation of Data Warehousing and Data Mining with full description of. Download as DOC, PDF, TXT or read online from Scribd. Data to ensure consistency, transformation and merging of source data. Data Mining and Data Warehousing and OLAP. Indroduction to Data Warehousing (Alex Berson).

Client/​Server Computing Model and Data Warehousing • Ch. Parallel Processors and Cluster Systems • Ch. Distributed DBMS Implementations • Ch. Client/​Server RDBMS Solutions • Ch. Data Warehousing Components • Ch. Building a Data Warehouse • Ch.

Mapping the Data Warehouse to a Multiprocessor Architecture • Ch. DBMS Schemas for Decision Support • Ch. Data Extraction, Cleanup, and Transformation Tools • Ch.

Metadata • Ch. Reporting and Query Tools and Applications • Ch.

On-Line Analytical Processing (OLAP) • Ch. Patterns and Models • Ch.

Statistics • Ch. Kukli marini golden opisanie. 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. Big Data - Better Returns: Leveraging Your Hidden Data Assets to Improve ROI • App.

Codd's 12 Guidelines for OLAP • App. 10 Mistakes for Data Warehousing Managers to Avoid.

• Notes • Includes bibliographical references and index. Language • English ISBN •: Dewey Number • 005.74 Libraries Australia ID • Contributed by Get this edition.