Visual Data Mining: Techniques and Tools for Data Visualization and Mining

Tom Soukup, Ian Davidson

  • 出版商: Wiley
  • 出版日期: 2002-05-30
  • 售價: $1,180
  • 貴賓價: 9.8$1,156
  • 語言: 英文
  • 頁數: 424
  • 裝訂: Paperback
  • ISBN: 0471149993
  • ISBN-13: 9780471149996
  • 相關分類: Data-mining 資料探勘

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商品描述

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 tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems.
* Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free
* Reviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making
* Shows how to solve numerous business problems by applying various tools and techniques
* Companion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining

Table of Contents

Introduction.

Acknowledgments.

Trademarks.

PART 1: INTRODUCTION AND PROJECT PLANNING PHASE.

Introduction to Data Visualization and Visual Data Mining.

Step 1: Justifying and Planning the Data Visualization and Data Mining Project.

Step 2: Identifying the Top Business Questions.

PART 2: DATA PREPARATION PHASE.

Step 3: Choosing the Business Data Set.

Step 4: Transforming the Business Data Set.

Step 5: Verify the Business Data Set.

PART 4: DATA ANALYSIS PHASE AND SUMMARY.

Step 6: Choosing the Visualization or Visual Mining Tool.

Step 7: Analyzing the Visualization or Mining Tool.

Step 8: Verifying and Presenting the Visualizations or Mining Models.

The Future of Visual Data Mining.

Glossary.

References.

Index.