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This paper proposes a topic structure mining method for document set with timestamp. The topic structure mining is a text mining method using the graph structure based on document pair similarities in the document set. This method yields not only topic extraction from documents and clustering of documents but also extracting the relationship between clusters and meaning of each document in the cluster. Our method combines the temporal co-occurrance and document similarity to construct the graphdoi:10.1145/1352793.1352843 dblp:conf/icuimc/TodaKFK08 fatcat:dfaqbaymsfaehl5abbix36gbsm