Spectral Feature Selection for Data Mining

Book description

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise

Table of contents

  1. Front Cover
  2. Dedication
  3. Contents
  4. Preface
  5. Authors
  6. Symbol Description
  7. 1. Data of High Dimensionality and Challenges (1/4)
  8. 1. Data of High Dimensionality and Challenges (2/4)
  9. 1. Data of High Dimensionality and Challenges (3/4)
  10. 1. Data of High Dimensionality and Challenges (4/4)
  11. 2. Univariate Formulations for Spectral Feature Selection (1/7)
  12. 2. Univariate Formulations for Spectral Feature Selection (2/7)
  13. 2. Univariate Formulations for Spectral Feature Selection (3/7)
  14. 2. Univariate Formulations for Spectral Feature Selection (4/7)
  15. 2. Univariate Formulations for Spectral Feature Selection (5/7)
  16. 2. Univariate Formulations for Spectral Feature Selection (6/7)
  17. 2. Univariate Formulations for Spectral Feature Selection (7/7)
  18. 3. Multivariate Formulations (1/6)
  19. 3. Multivariate Formulations (2/6)
  20. 3. Multivariate Formulations (3/6)
  21. 3. Multivariate Formulations (4/6)
  22. 3. Multivariate Formulations (5/6)
  23. 3. Multivariate Formulations (6/6)
  24. 4. Connections to Existing Algorithms (1/6)
  25. 4. Connections to Existing Algorithms (2/6)
  26. 4. Connections to Existing Algorithms (3/6)
  27. 4. Connections to Existing Algorithms (4/6)
  28. 4. Connections to Existing Algorithms (5/6)
  29. 4. Connections to Existing Algorithms (6/6)
  30. 5. Large-Scale Spectral Feature Selection (1/7)
  31. 5. Large-Scale Spectral Feature Selection (2/7)
  32. 5. Large-Scale Spectral Feature Selection (3/7)
  33. 5. Large-Scale Spectral Feature Selection (4/7)
  34. 5. Large-Scale Spectral Feature Selection (5/7)
  35. 5. Large-Scale Spectral Feature Selection (6/7)
  36. 5. Large-Scale Spectral Feature Selection (7/7)
  37. 6. Multi-Source Spectral Feature Selection (1/6)
  38. 6. Multi-Source Spectral Feature Selection (2/6)
  39. 6. Multi-Source Spectral Feature Selection (3/6)
  40. 6. Multi-Source Spectral Feature Selection (4/6)
  41. 6. Multi-Source Spectral Feature Selection (5/6)
  42. 6. Multi-Source Spectral Feature Selection (6/6)
  43. References (1/6)
  44. References (2/6)
  45. References (3/6)
  46. References (4/6)
  47. References (5/6)
  48. References (6/6)

Product information

  • Title: Spectral Feature Selection for Data Mining
  • Author(s): Zheng Alan Zhao, Huan Liu
  • Release date: December 2011
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781439862100