• • Title • Data warehousing, data mining, and OLAP /​ Alex Berson, Stephen J. Also Titled • Data warehousing, data mining &​ OLAP Author • Berson, Alex.

Spatial data mining refers to the extraction of knowledge, spatial relationships. With a spatial data warehouse that supports spatial OLAP, a user can view weather. Good choice if only spatial display is required (i.e., no real spatial merge has to be. Data warehousung,Data Mining and OLAP, Alex Berson,smith.j.

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. 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. Kartochki sostav chisel pervogo desyatka domiki. Metadata • Ch. Reporting and Query Tools and Applications • Ch.

On-Line Analytical Processing (OLAP) • 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. Test midot projti onlajn 15.

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.