Intelligent Data Engineering and Automated Learning – IDEAL 2018

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

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

Buch | Softcover

XXVI, 349 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-030-03495-5 (ISBN)

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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.

Erscheinungsdatum	12.11.2018
Reihe/Serie	Information Systems and Applications, incl. Internet/Web, and HCI
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XXVI, 349 p. 96 illus., 62 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	575 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Applications • Artificial Intelligence • classification • Clustering • clustering algorithms • Computer Networks • Computer Science • conference proceedings • Databases • Data Mining • Genetic algorithms • Informatics • Learning Algorithms • machine learning • mobile computing • Mobile Devices • Research • Semantics • sensor networks • sensors • Social Networking • Social Networks • Support Vector Machines (SVM) • Telecommunication networks • User Interfaces
ISBN-10	3-030-03495-X / 303003495X
ISBN-13	978-3-030-03495-5 / 9783030034955
Zustand	Neuware