| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| memorizing normality to detect anomaly | 0.09 | 1 | 7272 | 35 | 38 |
| memorizing | 0.77 | 0.1 | 3026 | 87 | 10 |
| normality | 0.75 | 0.9 | 890 | 84 | 9 |
| to | 1.02 | 0.8 | 659 | 3 | 2 |
| detect | 0.44 | 0.5 | 3425 | 60 | 6 |
| anomaly | 0.92 | 0.6 | 2430 | 48 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| memorizing normality to detect anomaly | 1.82 | 0.5 | 297 | 28 |
| how to assess normality | 0.61 | 0.6 | 1295 | 58 |
| how to find anomaly detection | 0.85 | 0.1 | 3557 | 2 |
| how to detect and measure anomalies | 1.43 | 0.3 | 2154 | 4 |
| how to test normality | 1.25 | 1 | 6555 | 19 |
| how to test for normality of data | 1.8 | 0.9 | 6552 | 35 |
| how to detect anomalies in data | 0.11 | 0.7 | 6655 | 22 |
| how to check normality | 0.37 | 0.8 | 1917 | 24 |
| how to find out normality | 1.12 | 0.8 | 6808 | 83 |
| how to check for normality of data | 1.56 | 0.8 | 1505 | 50 |
| how to do normality test | 1.42 | 1 | 9541 | 68 |
| assess normality of data | 1.05 | 1 | 843 | 45 |
| characteristics of anomaly detection | 1.95 | 0.4 | 7261 | 49 |
| testing data for normality | 1.65 | 0.1 | 3250 | 64 |
| normalizing flow anomaly detection | 1.94 | 0.4 | 7400 | 3 |
| normalizing flows for anomaly detection ppt | 0.3 | 0.3 | 9883 | 7 |
| detect_anomaly | 0.34 | 0.9 | 6203 | 98 |
