• • 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.

This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together to create a new class of information delivery system: the information factory.

Introduction to Data Warehousing • Ch. Client/​Server Computing Model and Data Warehousing • Ch.

Dungeon lords game editor v1 5678. 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. Artificial Intelligence • Ch.

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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.