27 citations · 32 across the 12 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021
Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance
Xiaobo Huang, Amitabha Banerjee, Chien-Chia Chen +4
We discuss how VMware is solving the following challenges to harness data to operate our ML-based anomaly detection system to detect performance issues in our Software Defined Data…
cs.LG2021★ 2 cited
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data
Seemandhar Jain, Prarthi Jain, Abhishek Srivastava
Anomaly detection is critical in various fields, including intrusion detection, health monitoring, fault diagnosis, and sensor network event detection. The isolation forest (or iFo…