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Application of Intelligent Systems in Multi-modal Information Analytics -

Application of Intelligent Systems in Multi-modal Information Analytics

2021 International Conference on Multi-modal Information Analytics (MMIA 2021), Volume 2
Buch | Softcover
XXXVI, 944 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-74813-5 (ISBN)
CHF 299,55 inkl. MwSt
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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
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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