Intelligent Data Engineering and Automated Learning – IDEAL 2019

Discover the cutting-edge insights in "Intelligent Data Engineering and Automated Learning – IDEAL 2019," authored by Hujun Yin and published by Springer Nature Switzerland AG. This two-volume set, comprising LNCS 11871 and 11872, presents the meticulously refereed conference proceedings from the 20th International Conference on Intelligent Data Engineering and Automated Learning, held in Manchester, UK, in November 2019.

With a total of 554 pages, this edition showcases 94 full papers that were rigorously reviewed and selected from a competitive pool of 149 submissions. Ideal for researchers, practitioners, and students, this collection delves into the latest advancements in intelligent data engineering and automated learning, making it an essential resource for anyone looking to stay at the forefront of this dynamic field.

Enhance your understanding of data engineering and automated learning with this comprehensive and authoritative guide.