Discovering the Patterns of Human Interaction in Meetings using Tree Based Mining

Authors

  • V. Lakshma Reddy  Department of Computer Science and Engineering, PACE Institute of Technology & Sciences, Ongole, Andhra Pradesh, India
  • A. Amruthavalli  Department of Computer Science and Engineering, PACE Institute of Technology & Sciences, Ongole, Andhra Pradesh, India

Keywords:

Tree Based Mining, Human Collaboration , Framework, Information Mining

Abstract

Discovering semantic learning is noteworthy for comprehension and translating how individuals collaborate in a meeting exchange. In this paper, we propose a mining technique to remove regular examples of human connection taking into account the caught substance of eye to eye gatherings. Human cooperation’s, for example, proposing a thought, giving remarks, and communicating a positive assessment, demonstrate client aim toward a point or part in a talk. Human cooperation stream in an exchange session is spoken to as a tree. Tree based communication mining calculations are intended to investigate the structures of the trees and to concentrate association stream designs. The trial results demonstrate that we can effectively separate a few fascinating examples that are valuable for the elucidation of human conduct in meeting talks, for example, deciding regular communications, commonplace cooperation streams, and connections between various sorts of collaborations.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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How to Cite

[1]
V. Lakshma Reddy, A. Amruthavalli, " Discovering the Patterns of Human Interaction in Meetings using Tree Based Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.327-331, March-April-2016.