
Modern Data Warehousing, Mining, and Visualization
Core Concepts
George M. Marakas(Author)
Pearson (Publisher)
Published on 9. January 2003
Book
Paperback/Softback
274 pages
978-0-13-101459-6 (ISBN)
Description
For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization-with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises-using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software-give students hands-on experience with real-world applications.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 233 mm
Width: 190 mm
Thickness: 11 mm
Weight
450 gr
ISBN-13
978-0-13-101459-6 (9780131014596)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

George M. Marakas
Modern Data Warehousing and Megaputer Suite CD
Book
06/2004
Prentice Hall
€58.31
Article exhausted; check for reprint
Content
1. Introduction to Data Mining, Warehousing, and Visualization.
2. The Data Warehouse.
3. Data Mining and Data Visualization.
4. Machines that Can Learn.
5. Executive Information Systems.
6. Designing and Building the Data Warehouse.
7. The Future of Data Mining, Warehousing, and Visualization.
References.
Index.
2. The Data Warehouse.
3. Data Mining and Data Visualization.
4. Machines that Can Learn.
5. Executive Information Systems.
6. Designing and Building the Data Warehouse.
7. The Future of Data Mining, Warehousing, and Visualization.
References.
Index.