8 citations · 13 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Consistency of Social Sensing Signatures Across Major US Cities
Aiman Soliman, Kiumars Soltani, Anand Padmanabhan +1
Previous studies have shown that Twitter users have biases to tweet from certain locations, locational bias, and during certain hours, temporal bias. We used three years of geoloca…
Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users
Aiman Soliman, Junjun Yin, Kiumars Soltani +2
Recent studies on human mobility show that human movements are not random and tend to be clustered. In this connection, the movements of Twitter users captured by geo-located tweet…
A Scalable Framework for Spatiotemporal Analysis of Location-based Social Media Data
Guofeng Cao, Shaowen Wang, Myunghwa Hwang +3
In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharin…