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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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11315
- Information Systems and Applications, incl. Internet/Web, and HCI ; 11315
- Language:
- English
- Subjects (All):
- Data mining.
- Artificial intelligence.
- Natural language processing (Computer science).
- Application software.
- Computer engineering.
- Computer networks.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XXVI, 349 pages) : 96 illustrations, 62 illustrations in color.
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-03496-2
- 9783030034962
- Access Restriction:
- Restricted for use by site license.
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