Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12274)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management
Conference proceedings info: KSEM 2020.
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Table of contents (43 papers)
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Front Matter
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Knowledge Graph
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Front Matter
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Knowledge Representation
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Front Matter
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Other Volumes
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Knowledge Science, Engineering and Management
About this book
The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.
*The conference was held virtually due to the COVID-19 pandemic.Keywords
- artificial intelligence
- classification
- computer networks
- computer vision
- data mining
- databases
- education
- image processing
- information retrieval
- information systems applications
- internet
- knowledge-based system
- machine learning
- network protocols
- neural networks
- semantics
- signal processing
- social networks
Editors and Affiliations
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Deakin University, Geelong, Australia
Gang Li
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University of Electronic Science and Technology of China, Chengdu, China
Heng Tao Shen
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Beijing Institute of Technology, Beijing, China
Ye Yuan
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Zhejiang Gongshang University, Hangzhou, China
Xiaoyang Wang
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Zhejiang Normal University, Jinhua, China
Huawen Liu
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National University of Defense Technology, Changsha, China
Xiang Zhao
Bibliographic Information
Book Title: Knowledge Science, Engineering and Management
Book Subtitle: 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I
Editors: Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-55130-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-55129-2Published: 02 August 2020
eBook ISBN: 978-3-030-55130-8Published: 20 August 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 510
Number of Illustrations: 86 b/w illustrations, 116 illustrations in colour
Topics: Artificial Intelligence, Computer and Information Systems Applications, Computer Application in Social and Behavioral Sciences, Data Mining and Knowledge Discovery, Database Management, Computer Application in Administrative Data Processing