Application of Intelligent Systems in Multi-modal Information Analytics
Springer International Publishing (Verlag)
978-3-030-74813-5 (ISBN)
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.
Economic Analysis on the Tourism Development of Intangible Cultural Heritage Based on Big Data Analysis Technology.- The Transition from Financial Accounting to Management Accounting in the era of Artificial Intelligence.- Discussion on the Organic Integration of Innovation and Entrepreneurship Education and Employment Guidance Education under Internet.- Marine Management Technology Based on Data Analysis.
Erscheinungsdatum | 19.04.2021 |
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Reihe/Serie | Advances in Intelligent Systems and Computing |
Zusatzinfo | XXXVI, 944 p. 324 illus., 210 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1472 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Schlagworte | Analytics Education • Artificial Intelligence • augmented intelligence • Big Data Analytics • Business Analytics • Data Science • Deep learning • Intelligent Systems • internet of things • machine learning • MMIA • MMIA2021 • Multi-modal Information Analytics • NLP and Sentiment Analytics • Predictive and Prescriptive Analytics • Social Media Analytics • Web Analytics |
ISBN-10 | 3-030-74813-8 / 3030748138 |
ISBN-13 | 978-3-030-74813-5 / 9783030748135 |
Zustand | Neuware |
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