Intelligent Data Engineering and Automated Learning – IDEAL 2021

Discover the cutting-edge insights in "Intelligent Data Engineering and Automated Learning – IDEAL 2021," authored by Hujun Yin and published by Springer Nature Switzerland AG. This comprehensive volume gathers the refereed proceedings from the 22nd International Conference on Intelligent Data Engineering and Automated Learning, held from November 25-27, 2021. Spanning 649 pages, this first edition delves into the latest advancements and pressing challenges in intelligent data analytics, machine learning paradigms, and innovative systems. Ideal for researchers, practitioners, and students alike, this book is a must-have resource for anyone interested in the future of data engineering and automated learning. Enhance your understanding and stay ahead in this rapidly evolving field with this essential addition to your library.