Distributed Bayesian Matrix decomposition for big data mining and clustering

Distributed Bayesian Matrix decomposition for big data mining and clustering

Registration ID: IJNRD_207637

Published ID: IJNRD2310303

DOI: Click Here to Get

Dr K VIJAYA BHASKAR , T.Ganesh , S.Vardhan Kumar Reddy

DBMD , Bayesian

The era of big data has ushered in a multitude of challenges and opportunities in data mining and clustering. Handling vast datasets efficiently while preserving the quality of extracted insights remains a formidable task. In this context, we introduce a novel approach, "Distributed Bayesian Matrix Decomposition" (DBMD), designed to address the unique demands of big data analysis. DBMD harnesses the power of Bayesian modeling, matrix factorization, and distributed computing to provide a scalable and accurate solution. At its core, DBMD leverages the Bayesian framework to model the inherent uncertainty and noise present in large datasets. By adopting a matrix decomposition strategy, it dissects complex data into latent factors, uncovering hidden patterns and relationships. The distributed nature of DBMD ensures that it can effectively process and analyze data distributed across multiple computing nodes, making it well-suited for big data environments.

Published Paper   E-Certificate

"Distributed Bayesian Matrix decomposition for big data mining and clustering", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.d16-d27, October-2023, Available :https://ijnrd.org/papers/IJNRD2310303.pdf

Volume 8 Issue 10, October-2023

Pages : d16-d27

Paper Reg. ID: IJNRD_207637

Published Paper Id: IJNRD2310303

Downloads: 000121122

Research Area: Engineering

Country: Chennai, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310303.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310303

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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