Soft Computing in Data Science

Soft Computing in Data Science

Title: Soft Computing in Data Science
Author: Azlinah Mohamed, Michael W. Berry & Bee Wah Yap
Release: 2017-11-23
Kind: ebook
Genre: Computers & Internet, Books, Programming, Computers, Databases, Science & Nature, Mathematics
Size: 8068289
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.

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