Factors correlation mining on railway accidents using association rule learning algorithm.
Yakun WangWei ZhengHairong DongPengfei GaoPublished in: ITSC (2020)
Keyphrases
- learning algorithm
- association rules
- mining algorithm
- association rule mining
- mining association rules
- itemsets
- frequent itemsets
- data mining
- transactional databases
- association mining
- frequent patterns
- apriori algorithm
- training data
- association rules mining
- rule mining
- factors affecting
- interestingness measures
- generalization ability
- rule generation
- pattern mining
- fuzzy association rules
- knowledge discovery
- frequent pattern mining
- data mining techniques
- rule sets
- interesting association rules
- incremental updating
- supervised learning
- text mining
- real world
- learning rate
- machine learning algorithms
- learning tasks
- discovery of association rules
- traffic accidents
- learning scheme
- frequent item sets
- pattern discovery
- active learning
- minimum support
- traffic management
- frequent itemset mining
- association patterns
- sequential pattern mining
- interesting rules
- web mining
- social networks
- machine learning
- mining sequential
- minimum support and minimum confidence