Soft Computing in Data Science : Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings / [electronic resource] : / edited by Azlinah Mohamed, Michael W. Berry, Bee Wah Yap.. — 1st ed. 2017.. — XV, 317 p. 123 illus. : online resource. — (Communications in Computer and Information Science,) 788 1865-0929 ;. - Communications in Computer and Information Science, 788 .

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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Анотація:
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.

ISBN: 9789811072420

Standard No.: 10.1007/978-981-10-7242-0 doi

Subjects--Topical Terms:
Artificial intelligence.
Data mining.
Optical data processing.
Big data.
Algorithms.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Big Data.
Algorithm Analysis and Problem Complexity.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3