Patterns of near-crash events in a naturalistic driving dataset: applying rules mining.
Xiaoqiang KongSubasish DasHongmin ZhouYunlong ZhangPublished in: CoRR (2022)
Keyphrases
- episode rules
- event types
- temporal association rules
- rules discovered
- frequent episodes
- pattern mining
- temporal events
- event sequences
- event streams
- generalized association rules
- association rule mining
- positive and negative association rules
- association rules
- frequent patterns
- sequential patterns
- temporal patterns
- data mining techniques
- rule mining
- minimum support and minimum confidence
- interestingness measures
- interesting patterns
- pattern discovery
- actionable knowledge
- mining association rules
- concise representation
- emerging patterns
- complex patterns
- data mining
- itemsets
- frequent pattern mining
- apriori algorithm
- periodic patterns
- mining frequent
- interesting association rules
- mining algorithm
- temporal relationships
- dangerous situations
- classification rules
- closed patterns
- transactional databases
- transactional data
- discovered rules
- peculiarity oriented mining
- association patterns
- weighted association rules
- rule generation
- temporal sequences
- mining patterns
- spatiotemporal patterns
- sequential pattern mining
- pattern extraction
- rule discovery
- frequent itemsets
- discovering interesting
- complex event processing
- text streams
- web mining
- rule sets
- interesting rules
- discovered patterns
- composite events
- indirect association
- spatio temporal patterns
- text mining
- temporal information
- data structure