Soft Computing in Data Science, 1st ed. 2017 Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings Communications in Computer and Information Science Series, Vol. 788
Coordonnateurs : Mohamed Azlinah, Berry Michael W., Yap Bee Wah
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.
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.
Date de parution : 11-2017
Ouvrage de 317 p.
15.5x23.5 cm
Thème de Soft Computing in Data Science :
Mots-clés :
Neural network; Big data analytics; Data mining; 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; Fuzzy computing; Text and sentiment analysis; algorithm analysis and problem complexity
