Mining fault association rules in the perception layer of electric power sensor network based on improved Eclat.
Yongsheng ZhaoYuxiang LvJian ZengYawen DongHonglin FangPeng YuSiya XuPublished in: IWCMC (2021)
Keyphrases
- electric power
- association rules
- association rule mining
- mining algorithm
- itemsets
- data mining
- frequent itemsets
- mining association rules
- knowledge discovery
- apriori algorithm
- interesting association rules
- quantitative association rules
- market basket data
- association mining
- association rules mining
- data mining techniques
- frequent patterns
- weighted association rules
- power network
- interestingness measures
- fuzzy association rules
- real time
- discovering association rules
- fault diagnosis
- power plant
- pattern mining
- market prices
- association patterns
- minimum support and minimum confidence
- interesting rules
- frequent item sets
- sensor data
- databases
- transaction data
- sequential patterns
- power quality
- quantitative attributes
- data structure
- neural network