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

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.

List of contents

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.

Summary

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.

Product details

• Assisted by: Davi Camacho (Editor), David Camacho (Editor), Paulo Novais (Editor), Paulo Novais et al (Editor), Antonio J. Tallón-Ballesteros (Editor), Hujun Yin (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783030034924
• ISBN: 978-3-0-3003492-4
• No. of pages: 865
• Dimensions: 156 mm x 235 mm x 47 mm
• Weight: 1323 g
• Illustrations: XXVI, 865 p. 285 illus., 197 illus. in color.
• Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Künstliche Intelligenz, machine learning, Data Mining, Artificial Intelligence, Bildverarbeitung, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Neural Networks, Computer Vision, Intrusion Detection, Theory of Computation, pattern recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Mining and Knowledge Discovery, Signal Processing, Computers, Mathematical theory of computation, Optical data processing, Expert systems / knowledge-based systems, Semantics, Learning Algorithms, Support Vector Machines (SVM)