Authors: Dr. Brijesh Kumar Bhardwaj and Dr. Kavita Srivastava

ISBN: 978-81-986720-0-1

DOI: https://doi.org/10.59646/dw/349

Date of Publication: April 18, 2025

About the Book:

AI-Driven Data Warehousing & Intelligent Data Mining presents a cutting-edge and comprehensive exploration of how artificial intelligence is revolutionizing the landscape of data management, analysis, and decision-making. The book begins by examining traditional and AI-enhanced Decision Support Systems (DSS), laying a strong foundation in intelligent data warehousing frameworks, operational databases, and multi-dimensional storage systems. It guides readers through the architectural and computational backbones of modern data infrastructure, including distributed databases, parallel processing, cluster computing, and multiprocessor architectures. Advancing into contemporary data warehousing techniques, the book delves into metadata management, cloud-based storage, federated learning, edge computing, and AI-augmented automation, culminating in the concept of self-healing data warehouses optimized by AI.

Subsequent units explore Business Intelligence (BI) tools, AI-driven dashboards, and predictive modeling using deep learning and reinforcement learning, highlighting their critical roles in real-time analytics and data-informed strategies. Readers also gain insight into advanced data mining techniques, such as association, clustering, regression, genetic algorithms, and responsible AI practices like bias detection and ethical decision-making. The final unit expands into future-forward domains, including multimedia mining, synthetic data generation with generative AI, dark web intelligence, AR/VR data visualization, and quantum-enhanced analytics. Rich with real-world examples, tool-based implementation strategies, and hands-on insights, this book is an essential resource for data scientists, AI practitioners, IT professionals, and business strategists looking to harness the full power of intelligent data systems for the future of enterprise innovation.