Mining Frequent Items Over the Distributed Hierarchical Continuous Weighted Data Streams in Internet of Things.
Shuzhuang ZhangYu ZhangLihua YinTingting YuanZhigang WuHao LuoPublished in: IEEE Access (2019)
Keyphrases
- data streams
- distributed data streams
- stream mining
- itemsets
- continuous data streams
- sliding window
- data stream mining
- frequent itemsets
- multiple data streams
- mining data streams
- continuous data
- closed frequent itemsets
- mining algorithm
- weighted association rules
- mining frequent itemsets
- frequent closed itemsets
- concept drift
- streaming data
- data distribution
- distributed systems
- mining association rules
- hierarchical architecture
- continuous queries
- association rule mining
- outlier detection
- sensor networks
- high speed data streams
- sensor data streams
- distributed data mining
- limited memory
- stream data
- cooperative
- frequent itemset mining
- data sets
- frequent patterns
- apriori algorithm
- mining frequent patterns
- hierarchical structure
- pattern mining
- distributed environment
- frequent pattern mining
- tree structure
- key technologies
- query decomposition
- mobile agents
- peer to peer
- maximal frequent itemsets
- knowledge discovery
- mobile devices
- association rules
- data structure
- multi agent
- data mining
- physical world