Quantum MAPREDUCE Distributed Data Clustering: High-Performance Solutions with Hadoop Framework

By Shristi Singh

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.

• Format: Paperback
• Language: English
• ISBN: 9999329152
• ISBN13: 9789999329156
• Release Date: July 2025
• Publisher: Eliva Press
• Length: 88 Pages
• Weight: 0.28 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"