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Visual data mining : techniques and tools for data visualization and mining

Author: Tom Soukup; Ian Davidson
Publisher: New York : Wiley Publ., ©2002.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Tom Soukup; Ian Davidson
ISBN: 0471149993 9780471149996
OCLC Number: 49320392
Notes: "Wiley Computer Publishing."
Description: xxxi, 382 pages : illustrations, maps ; 24 cm
Contents: pt. 1. Introduction and Project Planning Phase. Ch. 1. Introduction to Data Visualization and Visual Data Mining. Ch. 2. Step 1: Justifying and Planning the Data Visualization and Data Mining Project. Ch. 3. Step 2: Identifying the Top Business Questions --
pt. 2. Data Preparation Phase. Ch. 4. Step 3: Choosing the Business Data Set. Ch. 5. Step 4: Transforming the Business Data Set. Ch. 6. Step 5: Verify the Business Data Set --
pt. 3. Data Analysis Phase and Beyond. Ch. 7. Step 6: Choosing the Visualization or Visual Mining Tool. Ch. 8. Step 7: Analyzing the Visualization or Mining Tool. Ch. 9. Step 8: Verifying and Presenting the Visualizations or Mining Models. Ch. 10. The Future of Visual Data Mining.
Responsibility: Tom Soukup, Ian Davidson.
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