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Application of Intelligent Systems in Multi-modal Information Analytics

2021 International Conference on Multi-modal Information Analytics (MMIA 2021), Volume 2

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Vijayan Sugumaran

    1. Decision and Information Sciences, Oakland University, Rochester, USA

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  2. Zheng Xu

    1. Shanghai University, 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 2021 International Conference on Multi-modal Information Analytics ( MMIA 2021) held in Huhehaote, China on April 23-24, 2021
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1385)

Included in the following conference series:

Conference proceedings info: MMIA 2021.

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About this book

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, 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. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

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Keywords

Table of contents (139 papers)

  1. Part IV: Short Paper Session

    1. Investigation Based on the Storage Methods of Big Data

      • Xiao Wang
      Pages 813-817

    2. Development Experience and Application of Machine Learning

      • Yanying Zhang, Xinxin Tan, Ziwei Yu
      Pages 818-822

    3. Innovation and Development of Home Textile Design in the Context of Digital Technology

      • Changlan Jia
      Pages 823-827

    4. Interactive Design Principles of Educational APP Interface

      • Yueqiao Du
      Pages 828-832

    5. Automatic Lightweight of BIM Model

      • Haibing Zhang, Feng Cao, Gaobo Duan, Yonghong Xu
      Pages 833-838

    6. Exploration of Online and Offline Hybrid College English Teaching

      • Qin Gao, Wansong Xu
      Pages 839-843

    7. Short Video Applet Based on Wechat

      • Zhenhui Wang
      Pages 844-849

    8. How to Treat Artificial Intelligence

      • Zhen Zhang
      Pages 850-854

    9. Multi-dimensional Thinking of Modernization in the Field of Artificial Intelligence

      • Huaiqin Mu
      Pages 855-859

    10. C4.5 Data Algorithm for Industrialized Process

      • Pin Ren, Xia Jiang
      Pages 860-864

    11. Computer Network Design Based on Improved Genetic Algorithm

      • Hua Wang, Lingwei Wang
      Pages 865-870

    12. Big Data Mining and Artificial Intelligence Based Classification Algorithm

      • Yuan Yuan
      Pages 871-875

    13. Data Classification Algorithm for Marketing in E-commerce

      • Xuelei Zhang, Dongmei Fang
      Pages 876-881

    14. Ant Colony Algorithm for Food Analysis Data Processing

      • Jing Shi
      Pages 882-887

    15. Support Vector Machine for Digitalization of Lacquerware Process

      • Lingyun Cheng
      Pages 888-893

    16. Feature Data Extraction Algorithm Technology on Traditional Costume Innovation

      • Tao Gao, Lihong Kuang
      Pages 894-898

    17. Power System Fault Diagnosis Technology Based on IGWO Algorithm

      • Feng Jiang, Miao Wang, Qiang Liu
      Pages 899-903

    18. Intersectional Leading Industry Based on Data Mining

      • Jia LuLu, Gao Tao
      Pages 904-908

    19. Apriori Algorithm for Lacquer Classification

      • Ou Pan
      Pages 909-913

    20. Intersectional Industry Based on Data Mining

      • Ying Gao
      Pages 914-918
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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

Editors and Affiliations

  • Decision and Information Sciences, Oakland University, Rochester, USA

    Vijayan Sugumaran

  • Shanghai University, 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: 2021 International Conference on Multi-modal Information Analytics (MMIA 2021), Volume 2

  • Editors: Vijayan Sugumaran, Zheng Xu, Huiyu Zhou

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-74814-2

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-74813-5Published: 17 April 2021

  • eBook ISBN: 978-3-030-74814-2Published: 16 April 2021

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXXVI, 944

  • Number of Illustrations: 114 b/w illustrations, 210 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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