Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings için kapak resmi
Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings
Başlık:
Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings
Yazar:
Fujita, Hamido. editor.
ISBN:
9783319420073
Fiziksel Niteleme:
XVIII, 1021 p. 371 illus. online resource.
Seri:
Lecture Notes in Computer Science, 9799
İçindekiler:
Data science -- Knowledge base systems -- Natural language processing and sentiment analysis -- Semantic Web and social networks -- Computer vision.-Medical diagnosis system and bio-informatics -- Applied neural networks.-Innovations in intelligent systems and applications -- Decision support systems -- Adaptive control -- Soft computing and multi-agent systems.-Evolutionary algorithms and heuristic search -- System integration for real-life applications. .
Özet:
This book constitutes the refereed conference proceedings of the 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, held in Morioka, Japan, in August 2-4, 2016. The 80 revised full papers presented were carefully reviewed and selected from 168 submissions. They are organized in topical sections: data science; knowledge base systems; natural language processing and sentiment analysis; semantic Web and social networks; computer vision; medical diagnosis system and bio-informatics; applied neural networks; innovations in intelligent systems and applications; decision support systems; adaptive control; soft computing and multi-agent systems; evolutionary algorithms and heuristic search; system integration for real-life applications. .