Data Mining
eBook - PDF

Data Mining

Technologies, Techniques, Tools, and Trends

  1. 288 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Mining

Technologies, Techniques, Tools, and Trends

Book details
Table of contents
Citations

About This Book

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.Three parts divide Data Mining:

  • Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup

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Yes, you can access Data Mining by Bhavani Thuraisingham in PDF and/or ePUB format, as well as other popular books in Business & Information Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2014
ISBN
9781482252507
Edition
1
Topic
Business
Subtopic
Information Management
Index
Business

Table of contents

  1. Cover
  2. Half title
  3. Copy right
  4. Preface
  5. About the Author
  6. Dedication
  7. TABLE OF CONTENTS
  8. Chapter 1. Introduction
  9. Part I. Technologies for Data Mining
  10. Introduction to Part I
  11. Chapter 2. Database Systems
  12. Chapter 3. Data Warehousing
  13. Chapter 4. Some Other Technologies for Data Mining 6S 4.1 Overview
  14. Chapter 5. Architectural Support for Data Mining
  15. Conclusion to Part I
  16. Part II. Techniques and Tools for Data Mining
  17. Introduction to Part II
  18. Chapter 6. The Process of Data Mining
  19. Chapter 7. Data Mining Outcomes, Approaches, and Techniques
  20. Chapter 8. Logic Programming as a Data Mining Technique
  21. Chapter 9. Data Mining Tools
  22. Conclusion to Part II
  23. Part III. Trends in Data Mining
  24. Introduction to Part III
  25. Chapter 10. Mining Distributed, Heterogeneous, and Legacy Databases
  26. Chapter 11. Multimedia Data Mining
  27. 11.1 Overview
  28. Chapter 12. Data Mining and the World Wide Web
  29. Chapter 13. Security and Privacy Issues for Data Mining
  30. Chapter 14. Metadata Aspects of Mining
  31. Conclusion to Part
  32. Chapter 15. Summary and Directions
  33. References
  34. Appendices
  35. A. Data Management Technology
  36. A.l Overview
  37. A.2 Developments in Database Systems
  38. A.3 Status, Vision, and Issues
  39. A.4 Data Management Systems Framework
  40. A.5 Building Information Systems from Framework
  41. A.6 Summary
  42. A. 7 References
  43. B. Artificial Intelligence
  44. B. l Overview
  45. B.2 Developments in Artificial Intelligence Technologies
  46. B.3 Summary
  47. B.4 References
  48. Index