Advertisement

Application of Intelligent Systems in Multi-modal Information Analytics

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

  • Vijayan Sugumaran
  • Zheng Xu
  • Huiyu Zhou
Conference proceedings MMIA 2020
  • 14k Downloads

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

Table of contents

  1. Front Matter
    Pages i-xxxvi
  2. Part I: Multi-modal Informatics for Business and Management Applications

    1. Front Matter
      Pages 1-1
    2. Zhijun Gao, Li Dai, Xin Wang, Languang Zhao, Jianshun Liu
      Pages 3-8
    3. Bin Huang, Qilong Teng, You Tang
      Pages 22-27
    4. Hualei Zhang, Jian Zhao, Liling Huang, Jing Wang
      Pages 76-83
    5. Junfeng Zhao, Xue Deng, Lu Shen, Cuirong Huang, Chuangjie Chen
      Pages 96-104
    6. Huali Cai, Xuemei Wei, Fang Wu, Yanjun Gu, Ning Zhang
      Pages 112-116
    7. Wanfeng Liu, Yiqiong Gao, Tiecheng Yan, Lixiang Cao
      Pages 150-157
    8. Hongzhen Zhang, Guibin Zhang, Xiaohua Cai
      Pages 175-182
  3. Part II: Mobile and Cloud Technologies and Multi-modal Systems

    1. Front Matter
      Pages 199-199
    2. Shufang Ma, Jiang Wu, Shuangben Jiao, Bin Xue
      Pages 224-231
    3. Penglong Zhang, Yongsheng Zhang, Lining Liu, Wenqian Sun
      Pages 238-245
    4. Xiyuan Wang, Danping Chen, Ting Fu
      Pages 278-284

Other volumes

  1. Application of Intelligent Systems in Multi-modal Information Analytics
    Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 1
  2. Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 2

About these proceedings

Introduction

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.

Keywords

Intelligent Systems Artificial Intelligence Multi-modal Information Analytics Machine Learning Augmented Intelligence Business Analytics Web Analytics Big Data Analytics Predictive and Prescriptive Analytics Data Science Analytics Education Web Analytics Social Media Analytics NLP and Sentiment Analytics Deep Learning Internet of Things MMIA MMIA2020

Editors and affiliations

  • Vijayan Sugumaran
    • 1
  • Zheng Xu
    • 2
  • Huiyu Zhou
    • 3
  1. 1.Department of Decision and Information Sciences, and Center for Data Science and Big Data AnalyticsOakland University, School of Business AdministrationRochesterUSA
  2. 2.Shanghai University of Medicine and Health SciencesShanghaiChina
  3. 3.Department of InformaticsUniversity of LeicesterLeicesterUK

Bibliographic information