References

Adamic, L.A., 1999. The Small World Web. In: Theory and Practice of Digital Libraries. Abiteboul, S. and A.M. Vercoustre (Eds.). Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-540-66558-8, pp: 443-452.

Ahmed, I., D. Guan and T.C. Chung, 2014. SMS classification based on naive bayes classifier and apriori algorithm frequent itemset. Int. J. Mach. Learn. Comput., 4: 183-187.
Direct Link  |  

Braak, P.T., N. Abdullah and Y. Xu, 2009. Improving the performance of collaborative filtering recommender systems through user profile clustering. Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, September 15-18, 2009, IEEE Computer Society, Washington, DC, USA., ISBN: 978-0-7695-3801-3, pp: 147-150.

Cai, X., M. Bain, A. Krzywicki, W. Wobcke and Y.S. Kim et al., 2010. Collaborative Filtering for People to People Recommendation in Social Networks. In: Advances in Artificial Intelligence. Jiuyong, L. (Ed.). Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-642-17431-5, pp: 476-485.

Datta, S., J. Das, P. Gupta and S. Majumder, 2015. SCARS: A scalable context-aware recommendation system. Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT), February 7-8, 2015, IEEE, Hooghly, India, ISBN: 978-1-4799-4446-0, pp: 1-6.

Farid, D.M., L. Zhang, C.M. Rahman, M.A. Hossain and R. Strachan, 2014. Hybrid decision tree and naive bayes classifiers for multi-class classification tasks. Expert Syst. Appl., 41: 1937-1946.
Direct Link  |  

Finley, T. and T. Joachims, 2005. Supervised clustering with support vector machines. Proceedings of the 22nd International Conference on Machine Learning, August 7-11, 2005, ACM, New York, USA, ISBN: 1-59593-180-5, pp: 217-224.

Goyal, N., N. Aggarwal and M. Dutta, 2015. A Novel Way of Assigning Software Bug Priority Using Supervised Classification on Clustered Bugs Data. In: Advances in Intelligent Informatics. Sayed, E.M.E.A. S.M. Thampi, T. Hideyuki, S. Piramuthu and T. Hanne (Eds.). Springer International Publishing, Berlin, Germany, ISBN: 978-3-319-11217-6, pp: 493-501.

He, J., Y. Zhang, X. Li and P. Shi, 2012. Learning naive bayes classifiers from positive and unlabelled examples with uncertainty. Int. J. Syst. Sci., 43: 1805-1825.
Direct Link  |  

Ismail, S., A. Shabri and R. Samsudin, 2011. A hybrid model of Self-Organizing Maps (SOM) and Least Square Support Vector Machine (LSSVM) for time-series forecasting. Exp. Syst. Appl., 38: 10574-10578.
CrossRef  |  

Jaffali, S., S. Jamoussi, A.B. Hamadou and K. Smaili, 2014. Clustering and classification of like-minded people from their Tweets. Proceedings of the 2014 IEEE International Conference on Data Mining Workshop, December 14, 2014, IEEE, Shenzhen, China, ISBN: 978-1-4799-4275-6, pp: 921-927.

Kanchana, J.S. and S. Sujatha, 2014. Clustering unanimous web users based on rating and user-signature. J. Emerg. Technol. Web Intell., 6: 359-363.

Lin, Y.S., J.Y. Jiang and S.J. Lee, 2014. A similarity measure for text classification and clustering. IEEE. Trans. Knowl. Data Eng., 26: 1575-1590.
CrossRef  |  Direct Link  |  

Liu, C.L., W.H. Hsaio, C.H. Lee, G.C. Lu and E. Jou, 2012. Movie rating and review summarization in mobile environment. IEEE. Trans. Syst. Man Cybern. Part C. Appl. Rev., 42: 397-407.
CrossRef  |  Direct Link  |  

Melin, P. and O. Castillo, 2014. A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition. Appl. Soft Comput., 21: 568-577.
Direct Link  |  

Nayak, R., 2014. Two-way recommendation methods for social networks. Proceedings of the 7th Workshop on Ph.D Students, November 3-7, 2014, ACM, Shanghai, China, ISBN: 978-1-4503-1481-7, pp: 33-34.

Shieh, S.L. and I.E. Liao, 2012. A new approach for data clustering and visualization using self-organizing maps. Expert Syst. Appl., 39: 11924-11933.
Direct Link  |  

Smith, G., 2007. Tagging: People-Powered Metadata for the Social Web. New Riders, San Francisco, California, ISBN: 978-0-321-52917-6, Pages: 203.

Terveen, L. and W. Hill, 2001. Beyond recommender systems: Helping people help each other. HCI. New Millennium, 1: 487-509.

Ting, S.L., W.H. Ip and A.H. Tsang, 2011. Is naive bayes a good classifier for document classification?. Int. J. Software Eng. Its Appl., 5: 37-46.
Direct Link  |  

Valle, M.A., S. Varas and G.A. Ruz, 2012. Job performance prediction in a call center using a naive Bayes classifier. Expert Syst. Appl., 39: 9939-9945.
Direct Link  |  

Zhang, X.Y., P. Yang, Y.M. Zhang, K. Huang and C.L. Liu, 2014. Combination of classification and clustering results with label propagation. IEEE. Signal Process. Lett., 21: 610-614.
CrossRef  |  Direct Link  |