Intelligent Data Engineering and Automated Learning – IDEAL 2018

19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I

Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros (Herausgeber)

Buch | Softcover

XXVI, 865 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-030-03492-4 (ISBN)

Artikel merken

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.

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.

Erscheinungsdatum	12.11.2018
Reihe/Serie	Information Systems and Applications, incl. Internet/Web, and HCI
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XXVI, 865 p. 285 illus., 197 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1341 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Applications • Artificial Intelligence • classification • Clustering • computer crime • Computer Networks • Computer Science • conference proceedings • Data Mining • Data Security • evolutionary algorithms • Genetic algorithms • Image Processing • image reconstruction • Image Segmentation • Informatics • Intrusion Detection • Learning Algorithms • machine learning • Neural networks • pattern recognition • Research • Semantics • Signal Processing • Support Vector Machines (SVM)
ISBN-10	3-030-03492-5 / 3030034925
ISBN-13	978-3-030-03492-4 / 9783030034924
Zustand	Neuware