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Intelligent Data Engineering and Automated Learning – IDEAL 2019

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Intelligent Data Engineering and Automated Learning – IDEAL 2019 Synopsis

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

About This Edition

ISBN: 9783030336066
Publication date: 24th October 2019
Author: Hujun Yin
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 554 pages
Series: Lecture Notes in Computer Science
Genres: Data mining
Expert systems / knowledge-based systems
Educational equipment and technology, computer-aided learning (CAL)
Mathematical theory of computation
Applied computing
Computer hardware
Artificial intelligence