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Intelligent Data Engineering and Automated Learning IDEAL 2017: 18th International Conference, Guilin, China, October 30 November 1, 2017, Proceedings 1st ed. 2017 [Pehme köide]

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  • Formaat: Paperback / softback, 609 pages, kõrgus x laius: 235x155 mm, kaal: 9358 g, 198 Illustrations, black and white; XVI, 609 p. 198 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 10585
  • Ilmumisaeg: 06-Oct-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319689347
  • ISBN-13: 9783319689340
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Intelligent Data Engineering and Automated Learning IDEAL 2017: 18th International Conference, Guilin, China, October 30 November 1, 2017, Proceedings 1st ed. 2017Suurem pilt
  • Formaat: Paperback / softback, 609 pages, kõrgus x laius: 235x155 mm, kaal: 9358 g, 198 Illustrations, black and white; XVI, 609 p. 198 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 10585
  • Ilmumisaeg: 06-Oct-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319689347
  • ISBN-13: 9783319689340
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319689340.html
Märksõnad:

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017.

The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes 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.

Applied computing.- Artificial intelligence.- Bioinformatics.- Computing methodologies.- Data management systems.- Data mining.- Deep learning.- Information retrieval.- Health informatics.- Human computer interaction.- Machine learning.- Neural informatics.- Neural networks.- Neural systems.- Web applications.- Web mining.