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Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 - October 1, 2021, Proceedings (Paperback, 1st ed. 2021)
Krystian Wojtkiewicz, Jan Treur, Elias Pimenidis, Marcin Maleszka
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This book constitutes refereed proceedings of the 13th
International Conference on International Conference on
Computational Collective Intelligence, ICCCI 2021, held in
Kallithea, Rhodes, Greece, in October - November 2021. Due to the
the COVID-19 pandemic the conference was held online. The 44 full
papers and 14 short papers were thoroughly reviewed and selected
from 231 submissions. The papers are organized according to the
following topical sections: social networks and recommender
systems; collective decision-making; computer vision techniques;
innovations in intelligent systems; cybersecurity intelligent
methods; data mining and machine learning; machine learning in
real-world data; Internet of Things and computational technologies
for collective intelligence; smart industry and management systems;
low resource languages processing; computational intelligence for
multimedia understanding.
This book presents research reports selected to indicate the state
of the art in intelligent and database systems and to promote new
research in this field. It includes 34 chapters based on original
research presented as posters at the 11th Asian Conference on
Intelligent Information and Database Systems (ACIIDS 2019), held in
Yogyakarta, Indonesia on 8-11 April 2019. The increasing use of
intelligent and database systems in various fields, such as
industry, medicine and science places those two elements of
computer science among the most important directions of research
and application, which currently focuses on such key technologies
as machine learning, cloud computing and processing of big data. It
is estimated that further development of intelligent systems and
the ability to gather, store and process enormous amounts of data
will be needed to solve a number of crucial practical and
theoretical problems. The book is divided into five parts: (a)
Sensor Clouds and Internet of Things, (b) Machine Learning and
Decision Support Systems, (c) Computer Vision Techniques and
Applications, (d) Intelligent Systems in Biomedicine, and (e)
Applications of Intelligent Information Systems. It is a valuable
resource for researchers and practitioners interested in increasing
the synergy between artificial intelligence and database
technologies, as well as for graduate and Ph.D. students in
computer science and related fields.
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