Name
Abstract | ||
|---|---|---|
Logs are used to record runtime states and significant events for a software system. They are widely used for anomaly detection. Logs produced by most of the real-world systems show clear characteristics of imbalanced data because the number of samples in different classes varies sharply. The distribution of imbalanced data makes the anomaly classifier bias toward the majority class, so it is diff... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/HPCC-SmartCity-DSS50907.2020.00055 | 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) |
Keywords | DocType | ISBN |
Training,Context-aware services,Runtime,High performance computing,Semantics,Transforms,Software systems | Conference | 978-1-7281-7649-9 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peijie Sun | 1 | 2 | 0.36 |
| Yuepeng E. | 2 | 33 | 8.16 |
| Tong Li | 3 | 2 | 0.36 |
| Yulei Wu | 4 | 480 | 51.95 |
| Jingguo Ge | 5 | 7 | 3.15 |
| Junling You | 6 | 18 | 4.80 |
| Bingzhen Wu | 7 | 2 | 0.36 |