International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Harnessing the Power of Machine Learning and Cube Technologies for Transformative Data Analytics
Author(s) | Ravitej Veeramachaneni |
---|---|
Country | United States |
Abstract | Machine learning, a cornerstone of artificial intelligence, is increasingly being integrated with traditional cube technologies to enhance data analysis and decision-making capabilities. While cube technologies excel at providing structured data exploration and OLAP capabilities, machine learning algorithms can uncover hidden patterns, predict future trends, and automate complex tasks. This technical article explores the synergistic relationship between machine learning and cube technologies, highlighting how their integration is transforming the landscape of data analytics and empowering organizations to gain deeper insights and make more informed decisions. |
Keywords | Keywords: Machine Learning, Cube Technologies, Data Analytics, Predictive Modeling, Business Intelligence |
Field | Computer |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-10-28 |
Cite This | Harnessing the Power of Machine Learning and Cube Technologies for Transformative Data Analytics - Ravitej Veeramachaneni - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29421 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.29421 |
Short DOI | https://doi.org/g8pnj6 |
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E-ISSN 2582-2160
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