Intelligent Data Engineering and Automated Learning – IDEAL 2016

This collection highlights key research from the 17th IDEAL conference, showcasing advancements in data engineering and automated learning across various applications.

The book titled Intelligent Data Engineering and Automated Learning – IDEAL 2016 presents the refereed proceedings from the 17th International Conference on Intelligent Data Engineering and Automated Learning, which took place in Yangzhou, China, in October 2016. This collection showcases the latest advancements and research findings in the fields of data engineering and automated learning, highlighting the significance of these areas in today's technology-driven world.

Featuring 68 full papers that were meticulously reviewed and selected from a pool of 115 submissions, Intelligent Data Engineering and Automated Learning – IDEAL 2016 serves as a vital resource for researchers, practitioners, and students alike. The papers cover a broad spectrum of topics, including methodologies, frameworks, and techniques that are at the forefront of the field.

The contributions within this book delve into various themes such as evolutionary algorithms, deep learning, neural networks, and probabilistic modeling. Additionally, it addresses applications in big data analysis, regression, classification, clustering, and medical and biological modeling. With insights into text processing and image analysis, this compilation reflects the diverse and evolving landscape of intelligent data engineering and automated learning.