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

Authors(2):

V. Lakshma Reddy, A. Amruthavalli
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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.

V. Lakshma Reddy, A. Amruthavalli

Tree Based Mining, Human Collaboration , Framework, Information Mining

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
327-331 IJSRSET1622101   Technoscience Academy

Cite This Article

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.
URL : http://ijsrset.com/IJSRSET1622101.php