An Efficient Curve Extraction Algorithm for Massive Data
- DOI
- 10.2991/isrme-15.2015.45How to use a DOI?
- Keywords
- curve extraction, time-series, database query, time-series database, curve drawing
- Abstract
An efficient curve extraction algorithm for massive time-series data based on extreme value of periods is proposed. By dividing into periods, then calculate the number of sampling points within a time period according to extreme value of the each time period’s data. Uniformly take the sampling points through a database query mechanism, the experimental results show that compared with traditional algorithms, the number of points needed for sampling can be assigned, and the drawn curve has a good approximation of the original curve in the case that the number of access points has been pre-determined; it is able to greatly shorten the time of curve query and drawing.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhongwen Li AU - Long Li AU - Guoxin Li AU - Yan Li PY - 2015/04 DA - 2015/04 TI - An Efficient Curve Extraction Algorithm for Massive Data BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 195 EP - 198 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.45 DO - 10.2991/isrme-15.2015.45 ID - Li2015/04 ER -