EK
Eamonn Keogh
Principal Investigator
University of California, RiversideAbout
Research focuses on artificial intelligence and time series data mining, including scalable pattern discovery, anomaly detection, explainable analytics, multidimensional data analysis, and privacy-preserving data synthesis for complex real-world datasets.
Data Mining Time Series Data
International Encyclopedia of Statistical Science
•2025
Matrix Profile for Anomaly Detection on Multidimensional Time Series
arXiv (Cornell University)
•2024
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
arXiv (Cornell University)
•2024
Introducing Mplots: scaling time series recurrence plots to massive datasets
Journal Of Big Data
•2024
The Matrix Profile in Seismology: Template Matching of Everything With Everything
Journal of Geophysical Research Solid Earth
•2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
arXiv (Cornell University)
•2024
Introducing Mplots: Scaling Time Series Recurrence Plots to Massive Datasets
Research Square
•2023
Time Series Synthesis Using the Matrix Profile for Anonymization
arXiv (Cornell University)
•2023
Sketching Multidimensional Time Series for Fast Discord Mining
arXiv (Cornell University)
•2023
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