Spatio-temporal Pattern discovery in sensor data: A multivalued decision systems approach
作者：
Highlights：
• Uses multivalued decision systems for spatio-temporal pattern recognition.
• Discovers local spatio-temporal rules from cluster-heads of sensors.
• Incorporates rough set inference to reason with space-time variant data.
• Achieves data compression by using compact rules from the nodes to the sinks.
• Preserves underlying data semantics and quantifies uncertainty parameters.
摘要
•Uses multivalued decision systems for spatio-temporal pattern recognition.•Discovers local spatio-temporal rules from cluster-heads of sensors.•Incorporates rough set inference to reason with space-time variant data.•Achieves data compression by using compact rules from the nodes to the sinks.•Preserves underlying data semantics and quantifies uncertainty parameters.
论文关键词：Spatio-temporal pattern,Multi-valued decision system
论文评审过程：Received 20 September 2015, Revised 26 June 2016, Accepted 27 June 2016, Available online 5 July 2016, Version of Record 3 September 2016.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.06.032
