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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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
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
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.
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