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Due to the popularity and development of social networks and web video sites, we have witnessed an exponential growth in the volumes of web videos in the last decade. This prompts an urgent demand for efficiently grasping the major events. Nevertheless, the insufficient and noisy text information has made it difficult and challenging to mine the events based on the initial keywords and visual features. In this paper, we propose an adaptive semantic association rule mining method in the NDKdoi:10.1109/iri.2013.6642526 dblp:conf/iri/ZhangWSP13 fatcat:3r5kxlp7qvccpamtwugvxtqssm