Clustering high dimensional data streams based on N-most interesting itemsets mining.
Fujiang AoJing DuJingyi YuFuzhi WangQiong WangPublished in: FSKD (2013)
Keyphrases
- interesting itemsets
- high dimensional data streams
- itemsets
- interesting patterns
- data mining tasks
- clustering algorithm
- data streams
- mining algorithm
- anomaly detection
- frequent itemsets
- k means
- text mining
- knowledge discovery
- data mining
- closed frequent itemsets
- pattern mining
- sequential patterns
- data mining techniques
- frequent itemset mining
- frequent patterns
- unsupervised learning
- interestingness measures
- mining association rules
- mining frequent patterns
- stream mining