Discovering the City by Mining Diverse and Multimodal Data Streams.
Yin-Hsi KuoYan-Ying ChenBor-Chun ChenWen-Yu LeeChun-Che WuChia-Hung LinYu-Lin HouWen-Feng ChengYi-Chih TsaiChung-Yen HungLiang-Chi HsiehWinston H. HsuPublished in: ACM Multimedia (2014)
Keyphrases
- data streams
- stream mining
- continuous data streams
- multiple data streams
- itemsets
- mining data streams
- sliding window
- data stream mining
- frequent itemsets
- mining frequent itemsets
- mining algorithm
- multi modal
- closed frequent itemsets
- multi relational
- discovering frequent
- market basket analysis
- high speed data streams
- stream data
- streaming data
- discovery process
- stream data mining
- automatically extracting
- data sets
- spatial co location patterns
- concept drift
- change detection
- frequent patterns
- sensor data
- data mining
- knowledge discovery
- text mining
- data streaming
- web structure mining
- discovery of frequent patterns
- discover hidden
- sensor networks
- frequent closed itemsets
- sequential patterns
- sequential pattern mining
- outlier detection
- wide variety
- incoming data
- data distribution
- web mining
- reveal interesting
- mining maximal frequent itemsets
- web communities
- association mining
- real world