| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910349393603321 |
|
|
Titolo |
Intelligent Data Engineering and Automated Learning – IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2018.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XXVI, 349 p. 96 illus., 62 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11315 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Data mining |
Artificial intelligence |
Natural language processing (Computer science) |
Application software |
Computer organization |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Natural Language Processing (NLP) |
Computer Applications |
Computer Systems Organization and Communication Networks |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
| |