International Journal of Soft Computing

Year: 2014
Volume: 9
Issue: 3
Page No. 138 - 142

Behaviour Analysis Model for Social Networks using Genetic Weighted Fuzzy C-Means Clustering and Neuro-Fuzzy Classifier

Authors : P. Indira Priya, D.K. Ghosh, A. Kannan and S. Ganapathy

References

Dehuria, S., R. Royb, S.B. Choc and A. Ghosh, 2012. An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. J. Syst. Software, 85: 1333-1345.
CrossRef  |  Direct Link  |  

Jang, J.S.R., 1993. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern., 23: 665-685.
CrossRef  |  Direct Link  |  

Krishna, K. and M.N. Murty, 1999. Genetic K-means algorithm. Trans. Syst. Man Cybern. Part B: Cyber., 29: 433-439.
CrossRef  |  

Kudova, P., 2007. Clustering genetic algorithm. Proceedings of the 18th International Workshop on Database and Expert Systems Applications, September 3-7, 2007, ACM New York, USA., pp: 138-142.

Lin, H.J., F.W. Yang and Y.T. Kao, 2005. An efficient GA based clustering technique. Tamkang J. Sci. Eng., 8: 113-122.

Lipczak, M. and E. Milios, 2009. Agglomerative genetic algorithm for clustering in social networks. Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, July 8-12, 2009, Montreal, QC., Canada, pp: 1243-1250.

Liu, Y.G., K.F. Chen and X.M. Li, 2004. A hybrid genetic based clustering algorithm. Proceedings of International Conference on Machine Learning and Cybernetics, Volume 3, August 26-29, 2004, Chaina pp: 1677-1682.

Lu, Y., S. Lu, F. Fotouhi, Y. Deng and S.J. Brown, 2004. FGKA: A fast genetic k-means clustering algorithm. Proceedings of the ACM Symposium on Applied Computing, October 10-16, 2004, ACM New York, USA., pp: 622-623.

Lu, Y., S. Lu, F. Fotouhi, Y. Deng and S.J. Brown, 2004. Incremental genetic K-means algorithm and its application in gene expression data analysis. J. BMC Bioinform., Vol. 5. 10.1186/1471-2105-5-172

Tang, L. and H. Liu, 2009. Relational learning via latent social dimensions. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, June 28-July 1, 2009, Paris, France, pp: 817-826.

Uchida, M. and N. Shibata, 2006. Extracting and visualization of an emerging topic from the blogspace. Proceedings of the 20th Annual Conference of the Japanese Society for Artifical Inteligence, ACM New York, USA., June 7-9, 2006 -.

Wang, H., J. Chen and K. Guo, 2011. A genetic spectral clustering algorithm. J. Comput. Inform. Syst., 7: 3245-3252.

Wu, F.X., 2008. Genetic weighted k-means algorithm for clustering large-scale gene expression data. BMC Bioinform., Vol. 9. 10.1186/1471-2105-9-S6-S12

Zhou, X., X. Wang, E.R. Dougherty, D. Russ and E. Suh, 2004. Gene clustering based on clusterwide mutual information. J. Comput. Biol., 11: 147-161.

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