Review Article

Recent Progress of Anomaly Detection

Table 6

Time cost (s) of the anomaly detection algorithms, where k=10.

DatasetkNNODINLOFLoOPRBDAORSODFBHiCS

ALOI163.3131.2129.8134.9/1650.8273.3//
Ionoshere0.020.030.030.050.042.100.051.07171.70
KDDCup99164.1166.9168.4168//325.1//
PenDigits2.132.072.112.202.20414.5213.8156.202549.47
Sonar0.020.020.020.020.041.3180.040.12517.37
WDBC0.090.050.090.050.112.510.080.3458.05
Waveform0.130.830.810.700.16400.093.7860.285924.89
Arrhythmia0.270.160.170.170.3035.680.112.4564.74
Annthyroid1.421.461.461.471.50349.594.93261.234514.92
HeartDisease0.020.010.030.020.040.450.030.34126.21
Pima0.040.040.040.040.072.550.370.5195.78
SpamBase2.323.853.732.222.80589.594.56151.4810453.15
Arcene0.590.600.600.600.621158.850.7019.447581.04
ALLAML0.060.070.060.070.083.730.100.42/
DLBCL0.260.260.270.2610.3228.550.361.693496.79
Gisette9.819.069.089.1210.80567549.6567.8711370.13
Lung_MPM2.412.462.462.472.88850.212.8117.3296292.66
Ovarian5.835.795.805.806.761521.786.2640.761367821.09