Published Paper Details:

Mining Human Interaction in meetings is useful to identify how someone reacts in several things. Behavior represents the nature of the person and mining helps to analyze, how the person categorize their opinion in meeting. For this, study of linguistics knowledge is very important. Human interactions in meeting square measure categorized as propose, comment, acknowledgement, ask opinion, positive opinion and negative opinion. The sequence of human interactions is diagrammatical as a Tree. Tree structure is employed to represent the Human Interaction flow in meeting. Interaction flow helps to assure the chance of another style of interaction. Tree pattern mining and sub tree pattern mining algorithms square measure automatic to analyze the structure of the tree and to extract interaction flow patterns. The extracted patterns square measure interpreted from human interactions. The frequent patterns square measure used as associate classification tool to access a particular semantics, and that patterns square measure clustered to see the behavior of the person.