Asian Journal of Information Technology

Year: 2019
Volume: 18
Issue: 5
Page No. 150 - 159

Improving MapReduce Based k-Means Algorithm using Intelligent Technique

Authors : Hany H. Hussien, Omar M. Elssayad and Adel A. El-Zoghabi

References

Al-Shboul, B. and S.H. Myaeng, 2009. Initializing K-means using genetic algorithms. World Acad. Sci. Eng. Technol., 54: 114-118.
Direct Link  |  

Anchalia, P.P., A.K. Koundinya and N.K. Srinath, 2013. Mapreduce design of K-means clustering algorithm. Proceedings of the 2013 International Conference on Information Science and Applications (ICISA’13), June 24-26, 2013, IEEE, Suwon, South Korea, pp: 1-5.

Bhatia, M.P.S. and D. Khurana, 2013. Analysis of initial centers for k-means clustering algorithm. Int. J. Comput. Appl., 71: 9-12.
Direct Link  |  

Chormunge, S. and S. Jena, 2018. Correlation based feature selection with clustering for high dimensional data. J. Electr. Syst. Inf. Technol., 5: 542-549.
CrossRef  |  Direct Link  |  

El-Shorbagy, M.A., A.Y. Ayoub, I.M. El-Desoky and A.A. Mousa, 2018. A novel genetic algorithm based K-means algorithm for cluster analysis. Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’18), February 22-24, 2018, Springer, Berlin, Germany, pp: 92-101.

Falguni P., S.D. Bendale and S.A. Gaywala, 2019. A review on data partition method with feature selection method for big data. Int. J. Sci. Res. Rev., 7: 798-806.

Franti, P. and S. Sieranoja, 2018. K-means properties on six clustering benchmark datasets. Applied Intell., 48: 4743-4759.
CrossRef  |  Direct Link  |  

Garg, D., K. Trivedi and B. Panchal, 2013. A comparative study of clustering algorithms using mapreduce in hadoop. Int. J. Eng. Res. Technol. (IJERT), 2: 2999-3004.
Direct Link  |  

Gnanambal, S., M. Thangaraj, V.T. Meenatchi and V. Gayathri, 2018. Classification Algorithms with Attribute Selection: An evaluation study using WEKA. Int. J. Adv. Networking Appl., 9: 3640-3644.
Direct Link  |  

Godara, A. and V. Sharma, 2016. Improvement of initial centroids in K-means clustering algorithm. Int. J. Adv. Res. Innovative Ideas Educ., 2: 1773-1778.

Hossain, Z. and N. Akhtar, 2019. A dynamic K-means clustering for data mining. Indonesian J. Electr. Eng. Comput. Sci., 13: 521-526.

Jain, M. and C. Verma, 2014. Adapting K-means for clustering in big data. Int. J. Comput. Appl., 101: 19-24.
Direct Link  |  

Kashef, S., H. Nezamabadi‐Pour and B. Nikpour, 2018. Multilabel feature selection: A comprehensive review and guiding experiments. WIREs Data Mining Knowl. Discovery, Vol. 8, No. 2 10.1002/widm.1240

Khaimar, V. and S. Patil, 2016. Efficient clustering of data using improved Kmeans algorithm: A review. Imperial J. Interdiscip. Res. (IJIR), 2: 226-230.

Khezr, S.N. and N.J. Navimipour, 2017. MapReduce and its applications, challenges and architecture: A comprehensive review and directions for future research. J. Grid Comput., 15: 295-321.
CrossRef  |  Direct Link  |  

Krishnaveni, K. and R. Rathipriya, 2016. Mapreduce K-means based co-clustering approach for web page recommendation system. Int. J. Comput. Intell. Inf., 6: 164-175.
Direct Link  |  

Naganathan, V., 2018. Comparative analysis of big data, big data analytics: Challenges and trends. Int. Res. J. Eng. Technol., 5: 1948-1964.

Pooja, B. and S. Kulvinder, 2016. Big data mining: Analysis of genetic K-Means algorithm for big data clustering. Int. J. Adv. Res. Comput. Sci. Software Eng., 6: 223-228.

Priya T.M. and A. Saradha, 2018. An improved K-means cluster algorithm using map reduce techniques to mining of inter and intra cluster data in big data analytics. Int. J. Pure Applied Math., 119: 679-690.
Direct Link  |  

Punidha, Anitha, Arulanandan and Karthikeyan, 2018. Analysis of dataset in social media using K-means genetic algorithm. Int. J. Pure Applied Math., 119: 1-7.

Rao, B.C. and M. Rambabu, 2016. Implementing K-means clustering algorithm using mapreduce paradigm. Int. J. Sci. Res. (IJSR), 5: 1240-1244.
Direct Link  |  

Sanse, K. and M. Sharma, 2015. Clustering methods for big data analysis. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET), 4: 642-648.

Saxena, A., M. Prasad, A. Gupta, N. Bharill and O.P. Patel et al., 2017. A review of clustering techniques and developments. Neurocomputing, 267: 664-681.
CrossRef  |  Direct Link  |  

Sinha, A. and P.K. Jana, 2018. A hybrid mapreduce-based K-means clustering using genetic algorithm for distributed datasets. J. Supercomputing, 74: 1562-1579.
CrossRef  |  Direct Link  |  

Vishnupriya, N. and F.S. Francis, 2015. Data clustering using mapreduce for multidimensional datasets. Int. Adv. Res. J. Sci., Eng.Technol., 2: 39-42.

Zeebaree, D.Q., H. Haron, A.M. Abdulazeez and S.R. Zeebaree, 2017. Combination of K-means clustering with genetic algorithm: A review. Int. J. Applied Eng. Res., 12: 14238-14245.
Direct Link  |  

Zhao, W., H. Ma and Q. He, 2009. Parallel k-means clustering based on mapreduce. Proceedings of the IEEE International Conference on Cloud Computing, December 1-4, 2009, Springer, Berlin, Germany, pp: 674-679.

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