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-miningData-visualization
  • 下單後立即進貨 (約5~7天)

買這商品的人也買了...

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.

商品描述(中文翻譯)

市場分析師使用數據挖掘技術來獲得對客戶購買習慣的可靠理解,然後利用這些信息來開發新的市場營銷活動和產品。視覺挖掘工具為更廣泛的非技術人員提供了解決常見商業問題的無限可能性。

* 解釋如何選擇適合的數據集進行分析,將數據集轉換為可用格式,並驗證數據集是否無誤
* 回顧如何為特定類型的分析項目選擇合適的模型,如何分析模型並呈現結果以進行決策
* 展示如何應用各種工具和技術解決眾多商業問題
* 附帶網站提供數據可視化和視覺數據挖掘工具的鏈接,以及使用視覺數據挖掘的真實成功案例

目錄
引言
致謝
商標
第一部分:引言和項目計劃階段
數據可視化和視覺數據挖掘簡介
第一步:證明和計劃數據可視化和數據挖掘項目
第二步:確定頂級商業問題
第二部分:數據準備階段
第三步:選擇商業數據集
第四步:轉換商業數據集
第五步:驗證商業數據集
第四部分:數據分析階段和總結
第六步:選擇可視化或視覺挖掘工具
第七步:分析可視化或挖掘工具
第八步:驗證和呈現可視化或挖掘模型
視覺數據挖掘的未來
詞彙表
參考文獻
索引