Extracting frequent pattern from Human Interaction in Meeting using Tree based Approach

The document discusses a tree-based approach to extract frequent patterns from human interactions in meetings, highlighting the significance of meetings in social dynamics and organizational contexts. Techniques involving text-based data mining, filtering, and categorizing interactions into classes like proposals or comments are employed to construct an interaction tree and derive meeting outcomes using a frequent pattern mining algorithm. The paper outlines the system's implementation and its applications in corporate settings, business analysis, and case studies for civil courts.