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Eamonn Keogh
Researcher at University of California, Riverside
Publications - 316
Citations - 44557
Eamonn Keogh is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Cluster analysis & Dynamic time warping. The author has an hindex of 89, co-authored 306 publications receiving 39292 citations. Previous affiliations of Eamonn Keogh include University of California & University of California, Irvine.
Papers
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Proceedings ArticleDOI
Mother Fugger: Mining Historical Manuscripts with Local Color Patches
Qiang Zhu,Eamonn Keogh +1 more
TL;DR: This work introduces a simple color measure which both addresses and exploits typical features of historical manuscripts and proposes a tight lower bound to the measure which allows for the efficient mining of massive archives.
Finding the Unusual Medical Time Series: Algorithms and Applications
TL;DR: This work introduces the new problem of finding time series discords and shows a simple algorithm that is 3 to 4 orders of magnitude faster than brute force, while guaranteed to produce identical results.
Proceedings ArticleDOI
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems
TL;DR: A novel time series analysis technique that allows the decomposition of the time series into trend and fluctuation components, providing the monitoring software with actionable information about the changes of the system's behavior over time, and greatly helps detect the degradation phenomenon, and diagnose the corresponding components.
Posted Content
Time Series Classification to Improve Poultry Welfare
TL;DR: In this article, a dictionary-based approach is proposed to classify chicken behaviors from sparse and noisy data, and a novel time series dictionary learning algorithm is introduced to robustly learn from weakly labeled data sources.