Data Classification by KNN using Mapreduce In Hadoop

Authors(3) :-Aishwarya M R, Debaswini Khuntia, Preethi J D

Recent works have focused on efficient solutions using MapReduce programming model because it is suitable for distributed large scale data processing. For same problem this work provide different solutions with particular constraints and properties. According to this paper, we compute KNN on MapReduce to compare different approaches through experimental evaluation then we analyse the impact of data volume, data dimension for different perspectives like time complexity, space complexity and accuracy. Therefore, MapReduce through its Hadoop implementation is well suited for batch processing of static data.

Authors and Affiliations

Aishwarya M R
ISE,New Horizon College of Engineering, Bangalore, Karnataka,India
Debaswini Khuntia
ISE,New Horizon College of Engineering, Bangalore, Karnataka,India
Preethi J D
ISE,New Horizon College of Engineering, Bangalore, Karnataka,India

KNN, MapReduce

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 297-300
Manuscript Number : CSEIT172335
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aishwarya M R, Debaswini Khuntia, Preethi J D, "Data Classification by KNN using Mapreduce In Hadoop", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.297-300, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT172335

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