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Pattern Mining in Meeting using FP-Growth Algorithm


Author(s):

Bincy K Sunny , MOUNT ZION COLLEGE OF ENGINEERING, KADAMMANITTA; Rincy Roy Oommen, MOUNT ZION COLLEGE OF ENGINEERING, KADAMMANITTA

Keywords:

Human interaction, Sentiment analysis, N-gram algorithm, FP-Growth

Abstract:

Human interaction in meeting schedule provides a way for analyzing the outcome of the meeting. The proposed system develops a meeting application for a large firm company. It allow users scattered among various places to post comments for the topic that given by the admin. The main thing is that each user must login at the exact time of the meeting section. Otherwise they will not be permitted to comment on the topic. Each of them can express their own ideas, views directly on the meeting. At the end of the meeting admin will check whether positive or negative comments are supported by most of the users. Based on this admin can conclude the topic by listing reasons and distributing it to all the participants in that meeting. Interaction types used in this application are proposal, positive comment and negative comment. FP-Growth algorithm is used for finding frequent patterns.


Other Details:

Manuscript Id :IJSTEV3I9090
Published in :Volume : 3, Issue : 9
Publication Date: 01/04/2017
Page(s): 645-648
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