3 papers
cs.LG2020
Building an Automated and Self-Aware Anomaly Detection System
Sayan Chakraborty, Smit Shah, Kiumars Soltani +3
Organizations rely heavily on time series metrics to measure and model key aspects of operational and business performance. The ability to reliably detect issues with these metrics…
cs.LG2020
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment
Sayan Chakraborty, Smit Shah, Kiumars Soltani +1
The recent increase in the scale and complexity of software systems has introduced new challenges to the time series monitoring and anomaly detection process. A major drawback of e…
cs.DC2017
MovePattern: Interactive Framework to Provide Scalable Visualization of Movement Patterns
Kiumars Soltani, Anand Padmanabhan, Shaowen Wang
The rapid growth of movement data sources such as GPS traces, traffic networks and social media have provided analysts with the opportunity to explore collective patterns of geogra…