Discovering event episodes from sequences of online news articles: A time-adjoining frequent itemset-based clustering method.
Yen-Hsien LeePaul Jen-Hwa HuHongquan ZhuHsin-Wei ChenPublished in: Inf. Manag. (2020)
Keyphrases
- news articles
- clustering method
- frequent itemsets
- time stamped
- event sequences
- frequent itemset mining
- itemsets
- sequential patterns
- mining algorithm
- news stories
- news events
- online news
- association rule mining
- text documents
- association rules
- clustering algorithm
- frequent patterns
- k means
- similarity measure
- cluster analysis
- document clustering
- news sites
- news reports
- data streams
- news items
- frequent pattern mining
- sequential pattern mining
- pattern mining
- text mining
- social media
- feature selection
- search engine
- machine learning