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  • Conference proceedings
  • © 2022

Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

Editors:

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13368)

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 2022.

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About this book

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 

The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:

Volume I: 
Knowledge Science with Learning and AI (KSLA)

Volume II: 
Knowledge Engineering Research and Applications (KERA)

Volume III: 
Knowledge Management with Optimization and Security (KMOS)

Keywords

  • Computer Science
  • Informatics
  • Conference Proceedings
  • Research
  • Applications

Editors and Affiliations

  • Télécom Paris, Paris, France

    Gerard Memmi

  • Purdue University, West Lafayette, USA

    Baijian Yang

  • Shanghai Jiao Tong University, Shanghai, China

    Linghe Kong

  • Nanyang Technological University, Singapore, Singapore

    Tianwei Zhang

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

Bibliographic Information

  • Book Title: Knowledge Science, Engineering and Management

  • Book Subtitle: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

  • Editors: Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 705

  • Topics: Artificial Intelligence