You might also like

More about Quantum MAPREDUCE Distributed Data Clustering

• Book details
• Synopsis
• Trending among others

You get 78 loyalty points

Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Sonstiges

• Full title: Quantum MAPREDUCE Distributed Data Clustering
• Author: Shristi Singh
• Language: English
• Binding: Paperback
• Number of pages: 88
• EAN: 9789999329156
• ISBN: 9999329152
• ID: 50185554
• Publisher: Eliva Press
• Weight: 142 g
• Dimensions: 229 × 152 × 5 mm
• Date of publishing: 05. December 2025

Trending among others

---

---

---