Yin / Camacho / Novais Intelligent Data Engineering and Automated Learning – IDEAL 2018

19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I
Erscheinungsjahr 2018
ISBN: 978-3-030-03493-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 865 Seiten, eBook

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

This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances 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

Camacho, David

Novais, Paulo

Tallón-Ballesteros, Antonio J.

Inhaltsverzeichnis

Intelligent data analysis.- data mining and their associated learning systems and paradigms.- big data challenges.- machine learning, data mining, information retrieval and management.- bio- and neuro-informatics.- bio-inspired models including neural networks, evolutionary computation and swarm intelligence.- agents and hybrid intelligent systems, and real-world applications of intelligent techniques.- evolutionary algorithms.- deep learning neural networks.- probabilistic modeling.- 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.