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Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

Breast Cancer Classification and Segmentation Using Machine Learning Classifiers and Convolutional Neural Networks – IJCT Volume 12 – Issue 5 | IJCTV12I5P50

IJCT Current Issue IJCT Policy Indexing Low Cost Publication volume 12 issue 3 IJCT May 1, 2025 2 Comments

International Journal of Computer Techniques Volume 12 Issue 3 | PARALLEL AND DISTRIBUTED DATABASE SYSTEM FOR BUSINESS INTELLIGENCE: AN EXPLORATIVE REVIEW

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Parallel and Distributed Database System for Business Intelligence: An Explorative Review

Table of Contents

Parallel and Distributed Database System for Business Intelligence: An Explorative Review

Dr. Levi A.S. Damingo, Dr. Kizzy N. Elliot, Dr. Awajionyi S. Urang, Dr. Grace O. Diri | International Journal of Computer Techniques | Volume 12 Issue 3

Abstract

This paper explores the role of parallel and distributed database systems in business intelligence. It highlights benefits, strategies, and approaches for managing vast data resources to improve business decision-making…

Keywords

Parallel Database, Distributed Database, Business Intelligence, Big Data, Data Warehousing, Decision Making

Conclusion

Parallel and distributed databases play a crucial role in business intelligence by improving efficiency, data integration, and analytics-driven decision-making…

References

Cohen, J., et al., “MAD Skills: New Analysis Practices for Big Data,” Proceedings of the VLDB Endowment, 2009.
Chen, H., et al., “Business Intelligence and Analytics: From Big Data to Big Impact,” MIS Quarterly, 2012.

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