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Machine learning algorithms applied in automatic classification of social network users

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2 Author(s)
de Lima, B.V.A. ; Dept. de Inf. e Estetistica, Lab. de Intel. Computacional, Teresina, Brazil ; Machado, V.P.

This work shows the results of an analysis of machine learning algorithms applied in automatic classification for the users of the social network called Scientia.Net. The tests were done using a database with 2000 users. The analysis identifies which algorithm performs better in automatic classification of users within a social network. The algorithms tested were Multilayer Perceptron, Support Vector Machine, Kohonen Network and K-means Algorithm.

Published in:

Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on

Date of Conference:

21-23 Nov. 2012