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"Data Science and Big Data Analytics: Proceedings of IDBA 2024 (Learning and Analytics in Intelligent Systems Book 43)" edited by Durgesh Mishra, Xin-She Yang, Aynur Unal, and Dharm Singh Jat is a collection of high-quality research papers presented at the Fourth International Conference on Data Science and Big Data Analytics (IDBA 2024).
The book covers a wide range of cutting-edge topics including:
Data science fundamentals and advanced methods
Artificial intelligence and machine learning techniques
Quantum computing applications in data science
Big data analytics and cloud/security aspects
Computation and information security in big data
Forecasting and data analysis methodologies
Mathematical foundations such as graph theory relevant to data science
Practical and theoretical applications of data analytics in various domains
This volume serves as an authoritative resource capturing state-of-the-art developments and experimental research in data science and big data analytics, appealing to researchers, practitioners, and academics who are advancing knowledge in these fast-evolving areas.
It highlights the interdisciplinary nature of modern data science by integrating insights from AI, quantum computing, and security to address challenges in big data environments.
The book is academically published by Springer and contributes significantly to ongoing conversations in intelligent data analysis and smart analytics.
It highlights the interdisciplinary nature of modern data science by integrating insights from AI, quantum computing, and security to address challenges in big data environments.
The book is academically published by Springer and contributes significantly to ongoing conversations in intelligent data analysis and smart analytics.
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