Data Mining Concepts and Techniques. [electronic resource] :

• 作者： Han, Jiawei.
• 其他作者：
  • Kamber, Micheline.
  • Pei, Jian.
• 出版： Burlington : Elsevier Science
• 版本：3rd ed.
• 主題： Data mining , Computer-assisted instruction , Data mining--Handbooks, manuals, etc. , Computer science , Electronic books. , Electronic books.
• ISBN： 9780123814807 (electronic bk.) 、 0123814804 (electronic bk.) 、 9780123814791 (electronic bk.) 、 0123814790 (electronic bk.)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 課程: 資料探勘 ( 資管系碩士班 - 陳春賢)
  資料探勘與應用 ( 商管碩士在職資管組 - 陳春賢)
• 內容註: Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods. Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index.
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• 摘要註: The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin.
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