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Soft Computing in Data Science
Details
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.
Includes supplementary material: sn.pub/extras
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811072413
- Genre Information Technology
- Auflage 1st ed. 2017
- Editor Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
- Lesemotiv Verstehen
- Anzahl Seiten 317
- Größe H234mm x B155mm x T17mm
- Jahr 2017
- EAN 9789811072413
- Format Kartonierter Einband
- ISBN 978-981-10-7241-3
- Titel Soft Computing in Data Science
- Untertitel Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings
- Gewicht 511g
- Herausgeber Springer
- Sprache Englisch