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Application of Intelligent Systems in Multi-modal Information Analytics

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  • 791 Seiten
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This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Inform... Weiterlesen
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Beschreibung

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.



Inhalt
Spectrum Sensing Method in Multi-primary Users Environment.- Ict-Based Information Platform Architecture of Maritime Cargo Transportation Supply Chain.- Under the Background of Digital College Financial Problems Existing in the Informatization Construction and Solving Suggestion.- Collaborative Workflow-based Enterprise Information System.- E-Commerce Profit Evaluation of Agricultural Products Based on Grey Prediction Algorithm.

Produktinformationen

Titel: Application of Intelligent Systems in Multi-modal Information Analytics
Untertitel: Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 1
Editor:
EAN: 9783030514310
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: Technik
Veröffentlichung: 23.07.2020
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 45.67 MB
Anzahl Seiten: 791

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