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Data Classification by KNN using Mapreduce In Hadoop

Author

Listed:
  • Aishwarya M R
  • Debaswini Khuntia
  • Preethi J D

Abstract

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.

Suggested Citation

  • Aishwarya M R & Debaswini Khuntia & Preethi J D, 2017. "Data Classification by KNN using Mapreduce In Hadoop," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 297-300, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit172335
    Note: Article URL: https://ijsrcseit.com/CSEIT172335
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