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Application of Intelligent Systems in Multi-modal Information Analytics

Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 1

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Vijayan Sugumaran

    1. Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, USA

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  2. Zheng Xu

    1. Shanghai University of Medicine and Health Sciences, Shanghai, China

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  3. Huiyu Zhou

    1. Department of Informatics, University of Leicester, Leicester, UK

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  • Presents recent research on intelligent systems in multi-modal information analytics
  • Includes selected papers presented at the 2020 International Conference on Multi-modal Information Analytics (MMIA 2020) held in Changzhou, China, on March 5–6, 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1233)

Included in the following conference series:

Conference proceedings info: MMIA 2020.

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Table of contents (113 papers)

  1. Front Matter

    Pages i-xxxvi
    Download chapter PDF

  2. Part I: Multi-modal Informatics for Business and Management Applications

    1. Front Matter

      Pages 1-1
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    2. Spectrum Sensing Method in Multi-primary Users Environment

      • Zhijun Gao, Li Dai, Xin Wang, Languang Zhao, Jianshun Liu
      Pages 3-8

    3. ICT-Based Information Platform Architecture of Maritime Cargo Transportation Supply Chain

      • Yue Zhao, Changfu Yuan, Jiabao Du, Yi Wang
      Pages 9-15

    4. Under the Background of Digital College Financial Problems Existing in the Informatization Construction and Solving Suggestion

      • Hongxu Gao
      Pages 16-21

    5. Collaborative Workflow-Based Enterprise Information System

      • Bin Huang, Qilong Teng, You Tang
      Pages 22-27

    6. E-Commerce Profit Evaluation of Agricultural Products Based on Grey Prediction Algorithm

      • Shuangying Liu
      Pages 28-33

    7. Customer Segmentation and Management of Online Shops Based on RFM Model

      • Yulu He, Yanxia Cheng
      Pages 34-41

    8. Digital Service Evaluation System Based on Enterprise Operation Management Mode

      • Chaohu He, Xiong Qi, Li An
      Pages 42-46

    9. Information Disclosure Violation of Small and Medium-Sized Listed Companies Based on Strauss’ Grounded Theory

      • Ronghui Xu
      Pages 47-53

    10. Evaluation Modeling Establishment for the Risk Degree of Ship Collision

      • Hongdan Liu, Yue Sun, Bing Li
      Pages 54-63

    11. Choice of Profit Models for the Transformation and Development of Traditional Industrial Enterprises in the Internet Industry

      • Shanshan Wu, Xingpei Ji, Rui Tang
      Pages 64-69

    12. Influence of Internet Finance on Commercial Bank Financial Services

      • Zi Wang
      Pages 70-75

    13. Evaluation of Mixed Ownership Reform Based on Fuzzy Logic

      • Hualei Zhang, Jian Zhao, Liling Huang, Jing Wang
      Pages 76-83

    14. Development of Cross-Border E-commerce Based on Big Data Analysis

      • Huanhuan Ma
      Pages 84-89

    15. Methods of Making Courseware for College English Teaching in the Information Age

      • Lin Zhang, Jianli Guo
      Pages 90-95

    16. Performance Evaluation of Guangdong Province Technology Finance Based on DEA Model

      • Junfeng Zhao, Xue Deng, Lu Shen, Cuirong Huang, Chuangjie Chen
      Pages 96-104

    17. Traceability System Construction of Agricultural Products Cross-Border E-commerce Logistics from the Perspective of Blockchain Technology

      • Yulin Luo, Chao Xie
      Pages 105-111

    18. Express Delivery Services Customer Satisfaction Based on PLS_SEM

      • Huali Cai, Xuemei Wei, Fang Wu, Yanjun Gu, Ning Zhang
      Pages 112-116

    19. Expectation to the Accounting Personnel Under the Information Background

      • Xiuqing Wang
      Pages 117-122
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Other volumes

  1. Application of Intelligent Systems in Multi-modal Information Analytics

  2. Application of Intelligent Systems in Multi-modal Information Analytics

Keywords

About this book

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

Editors and Affiliations

  • Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, USA

    Vijayan Sugumaran

  • Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  • Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

Bibliographic Information

  • Book Title: Application of Intelligent Systems in Multi-modal Information Analytics

  • Book Subtitle: Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 1

  • Editors: Vijayan Sugumaran, Zheng Xu, Huiyu Zhou

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-51431-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-51430-3Published: 24 July 2020

  • eBook ISBN: 978-3-030-51431-0Published: 23 July 2020

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXXVI, 791

  • Number of Illustrations: 80 b/w illustrations, 151 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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