Application of Intelligent Systems in Multi-modal Information Analytics

Proceedings of the 2020 International Conference on Multi-model Information Analytics (MMIA2020), Volume 2

Vijayan Sugumaran, Zheng Xu, Huiyu Zhou (Herausgeber)

Buch | Softcover

XV, 858 Seiten

2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-51555-3 (ISBN)

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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.

Noise Data Removal Method of Frequency Response Curve Based on MNKriging Interpolation Algorithm.- An Analysis Method of Multi Round Interactive Semantics for Power Enterprises based on Solr Engine.- Simplification Method of Two-Level Stroke Line Based on Painting Sequence.- Typical Risk Situations in Driving Situations.- Construction of Smart Campus under the Background of Big Data.- Mass Fashion Life Service Space in Intelligent Cities.- Development Background of China's Energy Internet Industry and Experiences.- Probe on Curriculum Design of Electronic Circuit Based on Multisim14.0

Erscheinungsdatum	23.07.2020
Reihe/Serie	Advances in Intelligent Systems and Computing
Zusatzinfo	XV, 858 p. 321 illus., 167 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1318 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	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 • MMIA2020 • Multi-modal Information Analytics • NLP and Sentiment Analytics • Predictive and Prescriptive Analytics • Social Media Analytics • Web Analytics
ISBN-10	3-030-51555-9 / 3030515559
ISBN-13	978-3-030-51555-3 / 9783030515553
Zustand	Neuware