Frequent Pattern Mining From Meetings

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Provided by: Institute of Research and Journals (IRAJ)
Topic: Data Management
Format: PDF
Discovering semantic knowledge is significant for understanding and interpreting how people interact in a meeting discussion. In this, a mining method to extract frequent patterns of human interaction based on the captured content of meetings is proposed. Human interactions, such as proposing an idea, giving comments, and expressing a positive opinion, indicate user's intention towards a topic or role in a discussion. Human interaction flow in a discussion session is represented as a tree. Tree based interaction mining algorithms are designed to analyze the structures of the trees and to extract interaction flow patterns.
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