Intelligent Data Engineering and Automated Learning – IDEAL 2019

Discover the cutting-edge insights from the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, with this comprehensive two-volume set, LNCS 11871 and 11872, authored by Hujun Yin. Published by Springer Nature Switzerland AG in 2019, this collection features 94 meticulously reviewed full papers, showcasing the latest advancements in data engineering and automated learning. Out of 149 submissions, only the most impactful contributions were selected, making this a must-have resource for researchers and practitioners in the field. Spanning 364 pages, this paperback edition serves as an essential reference for those looking to stay at the forefront of intelligent data solutions. Don't miss your chance to delve into the innovative research that is shaping the future of data science.