Real-time time series error-based data reduction for internet-of-things applications
There are many time series data reduction methods, ranging from primitive data aggregation such as Rate of Change to sophisticated compression algorithms. Unfortunately, many of these existing algorithms are limited to work in offline mode only, data can only be reduced after a certain amount of dat...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2018
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| Online Access: | http://eprints.utar.edu.my/3579/1/Real%2Dtime_time_series_error%2Dbased_data_reduction_for_internet%2Dof%2Dthings_applications.pdf http://eprints.utar.edu.my/3579/ |
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