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Parallel CBAR Technique in Hadoop-MapReduce Framework

by Sayantan Singha Roy
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Current price ₹3,995.00
Original price ₹4,554.00
Original price ₹4,554.00
Original price ₹4,554.00
(-12%)
₹3,995.00
Current price ₹3,995.00

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Book cover type: Paperback
  • ISBN13: 9783659912757
  • Binding: Paperback
  • Subject: N/A
  • Publisher: LAP Lambert Academic Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Publication Date:
  • Pages: 76
  • Original Price: GBP 36.0
  • Language: English
  • Edition: N/A
  • Item Weight: 123 grams
  • BISAC Subject(s): General

Data clustering is a prevalent challenge in big data processing, and parallelizing clustering operations significantly enhances efficiency in applications involving frequent searches. Various clustering techniques are available for data grouping, with CBAR being widely used across different applications. Parallelizing CBAR is essential for big data, and the Hadoop MapReduce platform offers a suitable framework to improve efficiency by leveraging effective segmentation techniques. This book involves designing and implementing algorithms for CBAR using the MapReduce approach, with testing conducted on clusters of up to 4 nodes. The results demonstrate substantial performance gains, which are analyzed and discussed with illustrative examples.

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