Soft Computing in Data Science
Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings
Seiten
2017
|
1st ed. 2017
Springer Verlag, Singapore
978-981-10-7241-3 (ISBN)
Springer Verlag, Singapore
978-981-10-7241-3 (ISBN)
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.
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.
Erscheinungsdatum | 24.03.2018 |
---|---|
Reihe/Serie | Communications in Computer and Information Science ; 788 |
Zusatzinfo | 123 Illustrations, black and white; XV, 317 p. 123 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
ISBN-10 | 981-10-7241-8 / 9811072418 |
ISBN-13 | 978-981-10-7241-3 / 9789811072413 |
Zustand | Neuware |
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