Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications in Computer and Information Science (CCIS, volume 788)
Included in the following conference series:
Conference proceedings info: SCDS 2017.
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About this book
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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Keywords
- 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
Table of contents (26 papers)
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Front Matter
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Deep Learning and Real-Time Classification
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Front Matter
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Image Feature Classification and Extraction
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Front Matter
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Applications of Machine Learning
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Front Matter
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Data Visualization
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Front Matter
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Other volumes
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Soft Computing in Data Science
Editors and Affiliations
Bibliographic Information
Book Title: Soft Computing in Data Science
Book Subtitle: Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings
Editors: Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-10-7242-0
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Softcover ISBN: 978-981-10-7241-3Published: 24 November 2017
eBook ISBN: 978-981-10-7242-0Published: 23 November 2017
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XV, 317
Number of Illustrations: 123 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Imaging, Vision, Pattern Recognition and Graphics, Big Data, Algorithm Analysis and Problem Complexity