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Title: :  Review the Clustering Algorithm in Big Data
PaperId: :  10751
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 4 2019
DUI:    16.0415/IJARIIE-10751
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Daw Thet Thet KhaingUniversity Of Computer Studies, Yangon

Abstract

Computer Science
bigdata,mapreduce,cluster
As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. Clustering is an essential data mining tool that plays an important role for analyzing big data. MapReduce is one of the most famous frameworks, and it has attracted great attention because of its flexibility, ease of programming, and fault tolerance. However, the framework has evident performance limitations, especially for iterative programs. This study will first review the proposed iterative frameworks that extended MapReduce to support iterative algorithms. We summarize these techniques, discuss their uniqueness and limitations, and explain how they address the challenging issues of iterative programs. We also perform an in-depth review to understand the problems and the solving techniques for parallel clustering algorithms. Hence, we believe that no well-rounded review provides a significant comparison among parallel clustering algorithms using MapReduce.

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IJARIIE Daw Thet Thet Khaing. "Review the Clustering Algorithm in Big Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 4 2019 Page 1390-1403
MLA Daw Thet Thet Khaing. "Review the Clustering Algorithm in Big Data." International Journal Of Advance Research And Innovative Ideas In Education 5.4(2019) : 1390-1403.
APA Daw Thet Thet Khaing. (2019). Review the Clustering Algorithm in Big Data. International Journal Of Advance Research And Innovative Ideas In Education, 5(4), 1390-1403.
Chicago Daw Thet Thet Khaing. "Review the Clustering Algorithm in Big Data." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 4 (2019) : 1390-1403.
Oxford Daw Thet Thet Khaing. 'Review the Clustering Algorithm in Big Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, 2019, p. 1390-1403. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Review_the_Clustering_Algorithm_in_Big_Data_ijariie10751.pdf (Accessed : ).
Harvard Daw Thet Thet Khaing. (2019) 'Review the Clustering Algorithm in Big Data', International Journal Of Advance Research And Innovative Ideas In Education, 5(4), pp. 1390-1403IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Review_the_Clustering_Algorithm_in_Big_Data_ijariie10751.pdf (Accessed : )
IEEE Daw Thet Thet Khaing, "Review the Clustering Algorithm in Big Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, pp. 1390-1403, Jul-Aug 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Review_the_Clustering_Algorithm_in_Big_Data_ijariie10751.pdf [Accessed : ].
Turabian Daw Thet Thet Khaing. "Review the Clustering Algorithm in Big Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 4 ().
Vancouver Daw Thet Thet Khaing. Review the Clustering Algorithm in Big Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(4) : 1390-1403. Available from: https://ijariie.com/AdminUploadPdf/Review_the_Clustering_Algorithm_in_Big_Data_ijariie10751.pdf
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