Quantum MAPREDUCE Distributed Data Clustering: High-Performance Solutions with Hadoop Framework
Author:   Shristi Singh
Publisher:   Eliva Press
ISBN:  

9789999329156


Pages:   88
Publication Date:   05 December 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Quantum MAPREDUCE Distributed Data Clustering: High-Performance Solutions with Hadoop Framework


Overview

Quantum MAPREDUCE using the big data with database of Hadoop. Unlock the potential of Big Data with cutting-edge cluttering techniques optimized for scalability and performance. This groundbreaking book introduces enhanced K-means approaches and novel distributed algorithms that harness the power of the MAPREDUCE framework. Designed for researchers, data scientists, and professionals, it bridges theoretical insights with practical implementations. Whether you're tackling massive datasets or seeking to refine your machine learning strategies, this book offers the tools and knowledge to lead in the era of data-driven innovation.

Full Product Details

Author:   Shristi Singh
Publisher:   Eliva Press
Imprint:   Eliva Press
Dimensions:   Width: 15.20cm , Height: 0.50cm , Length: 22.90cm
Weight:   0.127kg
ISBN:  

9789999329156


ISBN 10:   9999329152
Pages:   88
Publication Date:   05 December 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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