Log Clustering Approach Selection

Attribute weights
Objectives

Data & System

Clustering techniques

Evaluation











Approaches ranked by query similarity
  1. Agrawal et al. (2019) - 0.0
  2. Aharon et al. (2009) - 0.0
  3. Aussel et al. (2018) - 0.0
  4. Carasso (2012) - 0.0
  5. Christensen and Li (2013) - 0.0
  6. Chuah et al. (2010) - 0.0
  7. Du and Li (2016) - 0.0
  8. Du et al. (2016) - 0.0
  9. Du and Cao (2015) - 0.0
  10. Fu et al. (2009) - 0.0
  11. Gainaru et al. (2011) - 0.0
  12. Gurumdimma et al. (2015) - 0.0
  13. Hamooni et al. (2016) - 0.0
  14. He et al. (2017a) - 0.0
  15. He et al. (2017b) - 0.0
  16. Jain et al. (2009) - 0.0
  17. Jayathilake et al. (2017) - 0.0
  18. Jia et al. (2017) - 0.0
  19. Jiang et al. (2008) - 0.0
  20. Joshi et al. (2014) - 0.0
  21. Juvonen et al. (2015) - 0.0
  22. Kimura et al. (2014) - 0.0
  23. Kobayashi et al. (2014) - 0.0
  24. Leichtnam et al. (2017) - 0.0
  25. Li et al. (2005) - 0.0
  26. Li et al. (2017) - 0.0
  27. Li et al. (2018) - 0.0
  28. Lin et al. (2005) - 0.0
  29. Makanju et al. (2009a) - 0.0
  30. Menkovski and Petkovic (2017) - 0.0
  31. Messaoudi et al. (2018) - 0.0
  32. Mizutani (2013) - 0.0
  33. Nagappan and Vouk (2010) - 0.0
  34. Nandi et al. (2016) - 0.0
  35. Ning et al. (2014) - 0.0
  36. Qiu et al. (2010) - 0.0
  37. Reidemeister et al. (2011) - 0.0
  38. Ren et al. (2018) - 0.0
  39. Salfner and Tschirpke (2008) - 0.0
  40. Schipper et al. (2019) - 0.0
  41. Sequence (2014) - 0.0
  42. Shima (2016) - 0.0
  43. Stearley (2004) - 0.0
  44. Taerat et al. (2011) - 0.0
  45. Tang and Li (2010) - 0.0
  46. Tang et al. (2011) - 0.0
  47. Thaler et al. (2017) - 0.0
  48. Tovarnak et al. (2019) - 0.0
  49. Vaarandi (2003) - 0.0
  50. Vaarandi (2004) - 0.0
  51. Vaarandi and Pihelgas (2015) - 0.0
  52. Wang et al. (2018) - 0.0
  53. Wurzenberger et al. (2017a) - 0.0
  54. Wurzenberger et al. (2017b) - 0.0
  55. Wurzenberger et al. (2019) - 0.0
  56. Xu et al. (2009) - 0.0
  57. Zhang et al. (2017) - 0.0
  58. Zhang et al. (2019) - 0.0
  59. Zhao and Xiao (2016) - 0.0
  60. Zou et al. (2016) - 0.0
  61. Zulkernine et al. (2013) - 0.0
PCA
PCA plot requires at least two variables with weights != 0.