Soft Computing in Data Science
Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017.
The 26 revised full papers presented were carefully reviewed...
The 26 revised full papers presented were carefully reviewed...
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Klappentext zu „Soft Computing in Data Science “
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017.The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics.
Inhaltsverzeichnis zu „Soft Computing in Data Science “
Deep learning and real-time classification.- Image feature classification and extraction.- Classification, clustering, visualization.- Applications of machine learning.- Data visualization.- Fuzzy logic.- Prediction models and e-learning.- Text and sentiment analytics.Bibliographische Angaben
- 2017, 1st ed. 2017, XV, 317 Seiten, Masse: 15,5 x 23,4 cm, Kartoniert (TB), Englisch
- Herausgegeben: Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
- Verlag: Springer, Berlin
- ISBN-10: 9811072418
- ISBN-13: 9789811072413
Sprache:
Englisch
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