Intelligent Data Engineering and Automated Learning – IDEAL 2017
Author | : Hujun Yin |
Publisher | : Springer |
Total Pages | : 626 |
Release | : 2017-10-23 |
ISBN-10 | : 9783319689357 |
ISBN-13 | : 3319689355 |
Rating | : 4/5 (355 Downloads) |
Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2017 written by Hujun Yin and published by Springer. This book was released on 2017-10-23 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.