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

著者

    • Soukup, Tom
    • Davidson, Ian

書誌事項

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

Tom Soukup, Ian Davidson

(Wiley computer publishing, . Timely. practical. reliable)

Wiley, 2002

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注記

Includes index

内容説明・目次

内容説明

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

目次

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.

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詳細情報

  • NII書誌ID(NCID)
    BA58179015
  • ISBN
    • 0471149993
  • LCCN
    2002004004
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xxxi, 382 p., [8] p. of col. plates
  • 大きさ
    24 cm
  • 分類
  • 件名
  • 親書誌ID
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