Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 6 SI
Page No. 5226 - 5229

Clustering Online News Comments Using Hadoop on Bigdata

Authors : Anu Sunil Kumar, Remya Anand and G. Deepa

References

Chaudhari, B. and M. Parikh, 2012. A comparative study of clustering algorithms using weka tools. Intl. J. Appl. Innov. Eng. Manage., 1: 154-158.
Direct Link  |  

Cho, H. and J.S. Lee, 2016. Data-driven feature word selection for clustering online news comments. Proceedings of the International Conference on Big Data and Smart Computing (BigComp’16), January 18-20, 2016, IEEE, Hong Kong, China, ISBN:978-1-4673-8796-5, pp: 494-497.

Hamoud, A., H. Bajwa and J. Lee, 2014. Hadoop based enhanced cloud architecture. American Society for Engineering Education, Salt Lake City, Utah.

Holmes, G., A. Donkin and I.H. Witten, 1994. WEKA: A machine learning workbench. Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems, November 29-December 2, 1994, IEEE Computer Society Press, pp: 357-361.

Rish, I., 2001. An empirical study of the naive Bayes classifier. Proceedings of the IJCAI 2001 Workshop on Empirical Methods in Artificial Intelligence Vol. 3, August 4-10, 2001, IBM, New York, USA., pp: 41-46.

Tsai, C.Y. and C.C. Chui, 2008. Developing a feature weight self-adjustment mechanism for a k-means clustering algorithm. Comput. Stat. Data Anal., 52: 4658-4672.
CrossRef  |  Direct Link  |  

Wettig, H., J. Lahtinen, T. Lepola, P. Myllymaki and H. Tirri, 2003. Bayesian analysis of online newspaper log data. Proceedings of the Symposium on Applications and the Internet Workshops, January 27-31, 2003, IEEE, Orlando, Florida, ISBN:0-7695-1873-7, pp: 282-287.

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