Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference - Proceedings, Part II

• Tipo: Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Analide, Cesar (Editor) Outra; Novais, Paulo (Editor) Outra; Camacho, David (Editor) Outra; Hujun Yin (Editor) Outra

Editora

Springer Nature

Cham

Conferência Internacional

21st International Conference IDEAL 2020. International Conference on Intelligent Data Engineering and Automated Learning

Guimarães, November 4–6, 2020

Outras Informações

DOI: 10.1007/978-3-030-62365-4

Abstract (EN): This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 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 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: IDEAL: International Conference on Intelligent Data Engineering and Automated Learning * The conference was held virtually due to the COVID-19 pandemic.

ISBN: 978-3-030-62364-7

ISBN Eletrónico: 978-3-030-62364-7

Coleção: Lecture Notes in Computer Science

Vol.: 12490