Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets.
Friedemann SchwenkreisPublished in: DSAA (2023)
Keyphrases
- frequent itemsets
- automated detection
- itemsets
- frequent itemset mining
- association rules
- mining frequent itemsets
- cluster analysis
- association rule mining
- data structure
- clustering algorithm
- automated analysis
- mining algorithm
- data streams
- frequent itemsets mining
- clustering method
- concise representation
- lung cancer
- discovery of association rules
- k means
- frequent itemset discovery
- closed itemsets
- itemset mining
- data mining
- categorical data
- mining association rules
- frequent patterns
- nearest neighbor
- transaction databases
- uncertain data
- maximal frequent itemsets
- deduction rules
- transactional databases
- interesting patterns
- data points
- frequent closed itemsets
- pruning strategy
- real world
- sequential pattern mining
- discovering association rules
- closed frequent itemsets
- anomaly detection
- transaction data
- binary data
- minimum support