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Multi-Granular Trend Detection for Time-Series Analysis
2017
IEEE Transactions on Visualization and Computer Graphics
This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: http://openaccess.city.ac.uk/15761/ Link to published version: http://dx.Fig. 1. Left: automated trend detection in combination with manual interaction finds two opposing key trends in the data (CO2 intensity of economic output: kg CO2 per 2005 PPP $ of GDP [13]). Middle: selecting only the subset that is part of the peak at T 1, directly shows that
doi:10.1109/tvcg.2016.2598619
pmid:27875181
fatcat:g5pyyz2b4bda5eltbwzusl75ki