Abstract | ||
---|---|---|
A common challenge faced by many domain experts working with time series data is how to identify and compare similar patterns. This operation is fundamental in high-level tasks, such as detecting recurring phenomena or creating clusters of similar temporal sequences. While automatic measures exist to compute time series similarity, human intervention is often required to visually inspect these aut... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TVCG.2018.2865077 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Time series analysis,Task analysis,Visualization,Data visualization,Time measurement,Electroencephalography,Encoding | Time series,Data visualization,Pattern recognition,Task analysis,Dynamic time warping,Visualization,Computer science,Line chart,Theoretical computer science,Artificial intelligence,Perception,Creative visualization | Journal |
Volume | Issue | ISSN |
25 | 1 | 1077-2626 |
Citations | PageRank | References |
4 | 0.39 | 27 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anna Gogolou | 1 | 7 | 1.76 |
Theophanis Tsandilas | 2 | 212 | 19.25 |
Themis Palpanas | 3 | 1136 | 91.61 |
Anastasia Bezerianos | 4 | 674 | 37.75 |