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Application of Intelligent Systems in Multi-modal Information Analytics

Huiyu Zhou (Hrsg.), Zheng Xu (Hrsg.), Vijayan Sugumaran (Hrsg.), Shankar P. (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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.

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Schlagwörter

Artificial Intelligence, MMIA, Deep Learning, MMIA2019, Multi-modal Information Analytics, Big Data Analytics, Machine Learning, Intelligent Systems, Analytics Education, Data Science, Augmented Intelligence, NLP and Sentiment Analytics, Predictive and Prescriptive Analytics, Business Analytics, Internet of Things, Social Media Analytics, Web Analytics