An evaluation of combinations of lossy compression and change-detection approaches for time-series data
作者：
Highlights：
• We describe applications scenarios for our framework.
• We explain the design decisions behind our comparison study.
• We present our selection of compression, change-detection and optimization techniques.
• The evaluation shows that result quality highly depends on the dataset.
• We present several heuristics regarding change-detection algorithms.
摘要
Highlights•We describe applications scenarios for our framework.•We explain the design decisions behind our comparison study.•We present our selection of compression, change-detection and optimization techniques.•The evaluation shows that result quality highly depends on the dataset.•We present several heuristics regarding change-detection algorithms.
论文关键词：Time series,Compression,Change detection
论文评审过程：Received 28 January 2016, Revised 12 November 2016, Accepted 15 November 2016, Available online 26 November 2016, Version of Record 14 December 2016.
论文官网地址：https://doi.org/10.1016/j.is.2016.11.001
