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Themed collocated events, such as conferences, workshops, and seminars,invite people with related life experiences to connect with each other. In thisera when people record lives through the Internet, individual experiences existin different forms of digital contents. People share digital life recordsduring collocated events, such as sharing blogs they wrote, Twitter posts theyforwarded, and books they have read. However, connecting experiences duringcollocated events are challenging. Not only one is blind to the large contentsof others, identifying related experiential items depends on how wellexperiences are retrieved. The collection of personal contents from allparticipants forms a valuable group repository, from which connections betweenexperiences can be mined. Visualizing same or related experiences inspireconversations and support social exchange. Common topics in group content alsohelp participants generate new perspectives about the collocated group.Advances in machine learning and data visualization provide automatedapproaches to process large data and enable interactions with datarepositories. This position paper promotes the idea of event mining: how toutilize state-of-the-art data processing and visualization techniques to designevent mining systems for connecting experiences during collocated activities.We discuss empirical and constructive problems in this design space, and ourpreliminary study of deploying a tabletop-based system, BlogCloud, whichsupports experience re-visitation and exchange with machine-learning and datavisualization.

Towards Connecting Experiences during Collocated Events through Data Mining and Visualization