Early anomaly detection in smart home: A causal association rule-based approach
作者：
Highlights：
• A new method for causal association rules mining.
• A method to analyze the CARs to resolve semantic and logic conflicting rules.
• Improvement of markov logic network for dynamic ground MLN enabling more flexibility.
• A new method for early anomaly detection and relevant actions generation.
• A model for data uncertainty management for the entire process.
摘要
•A new method for causal association rules mining.•A method to analyze the CARs to resolve semantic and logic conflicting rules.•Improvement of markov logic network for dynamic ground MLN enabling more flexibility.•A new method for early anomaly detection and relevant actions generation.•A model for data uncertainty management for the entire process.
论文关键词：Smart homes,Anomaly detection,Markov logic network,Causal association rules
论文评审过程：Received 1 November 2017, Revised 23 February 2018, Accepted 12 June 2018, Available online 29 June 2018, Version of Record 6 November 2018.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.06.001
