Mohamed Soft Computing in Data Science

Soft Computing in Data Science

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Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings

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Beschreibung

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

Autor*in

Azlinah Mohamed

Themen in »Soft Computing in Data Science«

Neural network Big data analytics Machine learning Data visualization Predictive analytics Computer vision Pattern recognition Feature extraction Image retrieval Face detection Object classification Object detection Modeling Recommender system E-learning

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Details

ISBN: 9789811072413
Verlag: Springer Singapore
Erscheinung: 24.11.2017

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