Yin / Gao / Chen Intelligent Data Engineering and Automated Learning – IDEAL 2017

18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-68935-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 609 Seiten, eBook

Reihe: Information Systems and Applications, incl. Internet/Web, and HCI

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.

Zielgruppe

Research

Autoren/Hrsg.

Yin, Hujun

Gao, Yang

Chen, Songcan

Wen, Yimin

Cai, Guoyong

Gu, Tianlong

Du, Junping

Tallón-Ballesteros, Antonio J.

Zhang, Minling

Inhaltsverzeichnis

Applied computing.- Artificial intelligence.- Bioinformatics.- Computing methodologies.- Data management systems.- Data mining.- Deep learning.- Information retrieval.- Health informatics.- Human computer interaction.- Machine learning.- Neural informatics.- Neural networks.- Neural systems.- Web applications.- Web mining.