A Log-Based Anomaly Detection Method with Efficient Neighbor Searching and Automatic K Neighbor Selection
Using the k-nearest neighbor (kNN) algorithm in the supervised learning method to detect anomalies can get more accurate results. However, when using kNN algorithm to detect anomaly, it is inefficient at finding k neighbors from large-scale log data; at the same time, log data are imbalanced in quan...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2020-01-01
|
| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2020/4365356 |