Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9426)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): MIWAI: International Conference on Multi-disciplinary Trends in Artificial Intelligence
Conference proceedings info: MIWAI 2015.
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Table of contents (42 papers)
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Front Matter
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Knowledge Representation, Reasoning and Management
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Front Matter
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Data Mining and Machine Learning
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Front Matter
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Computer Vision
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Front Matter
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About this book
This book constitutes the refereed conference proceedings of the 9th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2015, held in Fuzhou, China, in November 2015.
The 30 revised full papers presented together with 12 short papers were carefully reviewed and selected from 83 submissions. The papers feature a wide range of topics covering knowledge representation, reasoning, and management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and other AI applications.
Keywords
- ambient intelligence
- computer vision
- machine learning
- natural language processing
- recommender systems
- algorithms
- artificial intelligence
- cognitive science
- data mining
- decision support systems
- evolutionary computing
- image processing
- knowledge representation and reasoning
- multi-agent systems
- pattern recognition
- planning and scheduling
- robotics
- semantic Web
- social networks
- Web mining
Editors and Affiliations
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University College of London, London, United Kingdom
Antonis Bikakis
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Fuzhou University, Fuzhou, China
Xianghan Zheng
Bibliographic Information
Book Title: Multi-disciplinary Trends in Artificial Intelligence
Book Subtitle: 9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings
Editors: Antonis Bikakis, Xianghan Zheng
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-26181-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-26180-5Published: 29 November 2015
eBook ISBN: 978-3-319-26181-2Published: 28 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 458
Number of Illustrations: 167 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Pattern Recognition