Intelligent Data Engineering and Automated Learning - IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II

David Camacho

ISBN 10: 303003495X / ISBN 13: 9783030034955

Published by Springer, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783030034955

Bibliographic Details

• Title: Intelligent Data Engineering and Automated Learning - IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 303003495X
• ISBN 13: 9783030034955
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 569 grams

About this title

Synopsis

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.