|
Abstract
|
Article Information:
Temporal Semantic Analysis Based Human Interaction Pattern Mining using Partial Ancestral Graph
S. Uma and J. Suguna
Corresponding Author: S. Uma
Submitted: August 03, 2014
Accepted: September 14, 2014
Published: September 25, 2014 |
Abstract:
|
In modern life, interactions between human beings occur frequently in meeting discussions. Semantic knowledge of meetings can be revealed by discovering interaction patterns from those meetings. Human interaction flow in a discussion session is used to extract the frequent pattern interaction. In this study Partial Ancestral Graph (PAG) meet method is proposed to mine frequent interaction among patterns. The experimental results shows that the proposed method can extract several interesting patterns that are useful for the interpretation of human behavior in meeting discussions, such as determining frequent interactions, typical interaction flows and relationships between different types of interactions.
Key words: Directed Acyclic Graph (DAG), human interactions, Partial Ancestral Graph (PAG), tree based mining, , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
S. Uma and J. Suguna, . Temporal Semantic Analysis Based Human Interaction Pattern Mining using Partial Ancestral Graph. Research Journal of Applied Sciences, Engineering and Technology, (12): 1487-1491.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
