A new framework for mining frequent interaction patterns from meeting databases
We proposed a DAG-based mining framework to model and mine interactions in meetings. The framework integrates DAG, interaction pattern & weighted frequent pattern mining It captures temporal and triggering relations among meeting interactions. It incorporates node weight to preserve rank information of meeting participants. It exploits anti-monotone property and is practical in many real-life scenarios.
frequent patterns data mining directed acyclic graphs human interaction modelling meetings