Service-Oriented Distributed Knowledge Discovery

Book description

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniques, algorithms, and systems based on the service-oriented paradigm. It explains how to design services for data analytics, describes real systems for implementing distributed knowledge discovery applications, and explores mobile data mining models.

Table of contents

  1. Front Cover
  2. Service-Oriented Distributed Knowledge Discovery
  3. Copyright
  4. Dedication
  5. Table of Contents (1/2)
  6. Table of Contents (2/2)
  7. Preface
  8. Acknowledgments
  9. Authors
  10. 1. Distributed Knowledge Discovery: An Overview (1/8)
  11. 1. Distributed Knowledge Discovery: An Overview (2/8)
  12. 1. Distributed Knowledge Discovery: An Overview (3/8)
  13. 1. Distributed Knowledge Discovery: An Overview (4/8)
  14. 1. Distributed Knowledge Discovery: An Overview (5/8)
  15. 1. Distributed Knowledge Discovery: An Overview (6/8)
  16. 1. Distributed Knowledge Discovery: An Overview (7/8)
  17. 1. Distributed Knowledge Discovery: An Overview (8/8)
  18. 2. Service- Oriented Computing for Data Analysis (1/6)
  19. 2. Service- Oriented Computing for Data Analysis (2/6)
  20. 2. Service- Oriented Computing for Data Analysis (3/6)
  21. 2. Service- Oriented Computing for Data Analysis (4/6)
  22. 2. Service- Oriented Computing for Data Analysis (5/6)
  23. 2. Service- Oriented Computing for Data Analysis (6/6)
  24. 3. Designing Services for Distributed Knowledge Discovery (1/3)
  25. 3. Designing Services for Distributed Knowledge Discovery (2/3)
  26. 3. Designing Services for Distributed Knowledge Discovery (3/3)
  27. 4. Workflows of Services for Data Analysis (1/4)
  28. 4. Workflows of Services for Data Analysis (2/4)
  29. 4. Workflows of Services for Data Analysis (3/4)
  30. 4. Workflows of Services for Data Analysis (4/4)
  31. 5. Services and Grids: The Knowledge Grid (1/5)
  32. 5. Services and Grids: The Knowledge Grid (2/5)
  33. 5. Services and Grids: The Knowledge Grid (3/5)
  34. 5. Services and Grids: The Knowledge Grid (4/5)
  35. 5. Services and Grids: The Knowledge Grid (5/5)
  36. 6. Mining Tasks as Services: The Case of Weka4WS (1/5)
  37. 6. Mining Tasks as Services: The Case of Weka4WS (2/5)
  38. 6. Mining Tasks as Services: The Case of Weka4WS (3/5)
  39. 6. Mining Tasks as Services: The Case of Weka4WS (4/5)
  40. 6. Mining Tasks as Services: The Case of Weka4WS (5/5)
  41. 7. How Services Can Support Mobile Data Mining (1/4)
  42. 7. How Services Can Support Mobile Data Mining (2/4)
  43. 7. How Services Can Support Mobile Data Mining (3/4)
  44. 7. How Services Can Support Mobile Data Mining (4/4)
  45. 8. Knowledge Discovery Applications (1/4)
  46. 8. Knowledge Discovery Applications (2/4)
  47. 8. Knowledge Discovery Applications (3/4)
  48. 8. Knowledge Discovery Applications (4/4)
  49. 9. Sketching the Future Pervasive Data Services (1/3)
  50. 9. Sketching the Future Pervasive Data Services (2/3)
  51. 9. Sketching the Future Pervasive Data Services (3/3)
  52. Bibliography (1/2)
  53. Bibliography (2/2)
  54. Back Cover

Product information

  • Title: Service-Oriented Distributed Knowledge Discovery
  • Author(s): Domenico Talia, Paolo Trunfio
  • Release date: October 2012
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781439875339