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Application of Intelligent Systems in Multi-modal Information Analytics

  • Vijayan Sugumaran
  • Zheng Xu
  • Shankar P.
  • Huiyu Zhou
Conference proceedings MMIA 2019

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 929)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Regular Papers

    1. Front Matter
      Pages 1-1
    2. Zhifeng Zhang, Zhili Pei, Yarong Zhang, Zhigao Zhang, Hongmei Zhang, Miangyang Jiang et al.
      Pages 223-230
    3. Xiaodong Qi, Haitao Sun, Xinglong Duan, Qiang Liu, Shaozong Wang, Mingjun Zheng
      Pages 246-254
    4. Ying Chen, Jian Liu, Huxin Jin, Yuanhong Zhuo
      Pages 255-266
    5. Qingyang Zhang, Wei Sun, Jinglin Xia, Kai Li, Xinmei Yuan
      Pages 267-275
    6. Penghui Li, Haiyan Zhang, Qingbu Mei, Yang Wang
      Pages 284-292
    7. Jie Dong, Gui Li, Xueyang Sun, Fengying Wang
      Pages 293-300
    8. Jia Li, Dapeng Xing, Wanyu Xue, Li Gao, Min Zhou, Bing Zhang
      Pages 323-329

About these proceedings

Introduction

This book presents the proceedings of the 2019 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Shenyang, China on February 19-20, 2019. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing 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: 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 provides 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 Social Media Analytics NLP and Sentiment Analytics Deep Learning Internet of Things MMIA MMIA2019

Editors and affiliations

  • Vijayan Sugumaran
    • 1
  • Zheng Xu
    • 2
  • Shankar P.
    • 3
  • Huiyu Zhou
    • 4
  1. 1.Department of Decision and Information SciencesOakland University School of Business AdministrationRochesterUSA
  2. 2.Shanghai UniversityShanghaiChina
  3. 3.Vinayaka Mission’s Research FoundationAarupadai Veedu Institute of TechnologySalemIndia
  4. 4.Department of InformaticsUniversity of LeicesterLeicesterUK

Bibliographic information

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