2004
Exact indexing of dynamic time warping
Eamonn Keogh, Chotirat Ann Ratanamahatana
Knowledge and Information SystemsCore
2k
cites
Eamonn Keogh
Faculty
Anomaly Detection Techniques and ApplicationsData Management and AlgorithmsMusic and Audio ProcessingTime Series Analysis and Forecasting
About
Eamonn Keogh is a Computer Science scholar at University of California, Riverside. Research spans Anomaly Detection Techniques and Applications, Data Management and Algorithms, Music and Audio Processing. 407 works, 47k citations (h-index 97).
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Affiliation on publications · University of California, Riverside
Most-cited work
2003
A symbolic representation of time series, with implications for streaming algorithms
Jessica Lin, Eamonn Keogh, Stefano Lonardi, Bill Chiu
1.8k
cites
2007
Experiencing SAX: a novel symbolic representation of time series
Jessica Lin, Eamonn Keogh, Wei Li, Stefano Lonardi
Data Mining and Knowledge DiscoveryTop-listed
1.6k
cites