2 Matching Annotations
- Nov 2022
Eamonn Keogh is an assistant professor of Computer Science at the University ofCalifornia, Riverside. His research interests are in Data Mining, Machine Learning andInformation Retrieval. Several of his papers have won best paper awards, includingpapers at SIGKDD and SIGMOD. Dr. Keogh is the recipient of a 5-year NSF CareerAward for “Efficient Discovery of Previously Unknown Patterns and Relationships inMassive Time Series Databases”.
Look into Eamonn Keogh's papers that won "best paper awards"
http://www.cs.ucr.edu/~eamonn/meaningless.pdf Paper that argues cluster time series subsequences is "meaningless". tl;dr: radically different distributions end up converging to translations of basic sine or trig functions. Wonder if constructing a simplicial complex does anything?
Note that one researcher changed the algorithm to produce potentially meaningful results