Intelligent Data Engineering and Automated Learning ¿ IDEAL 2017 : 18th International Conference, Guilin, China, October 30 ¿ November 1, 2017, Proceedings

Hujun Yin

ISBN 10: 3319689347 / ISBN 13: 9783319689340

Published by Springer International Publishing, Springer International Publishing, 2017

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319689340

Bibliographic Details

• Title: Intelligent Data Engineering and Automated Learning ¿ IDEAL 2017 : 18th International Conference, Guilin, China, October 30 ¿ November 1, 2017, Proceedings
• Publisher: Springer International Publishing, Springer International Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3319689347
• ISBN 13: 9783319689340
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 34D millimeters 235 millimeters width by 155 millimeters height by 34 millimeters depth
• Weight: 937 grams

About this title

Synopsis

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.