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Books > Computing & IT > Applications of computing > Artificial intelligence
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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Cadiz, Spain, June 11-15, 2018, Proceedings, Part I (Paperback, 1st ed. 2018)
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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Cadiz, Spain, June 11-15, 2018, Proceedings, Part I (Paperback, 1st ed. 2018)
Series: Communications in Computer and Information Science, 853
Expected to ship within 10 - 15 working days
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This three volume set (CCIS 853-855) constitutes the proceedings of
the 17th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems, IPMU 2017,
held in Cadiz, Spain, in June 2018. The 193 revised full papers
were carefully reviewed and selected from 383 submissions. The
papers are organized in topical sections on advances on explainable
artificial intelligence; aggregation operators, fuzzy metrics and
applications; belief function theory and its applications; current
techniques to model, process and describe time series; discrete
models and computational intelligence; formal concept analysis and
uncertainty; fuzzy implication functions; fuzzy logic and
artificial intelligence problems; fuzzy mathematical analysis and
applications; fuzzy methods in data mining and knowledge discovery;
fuzzy transforms: theory and applications to data analysis and
image processing; imprecise probabilities: foundations and
applications; mathematical fuzzy logic, mathematical morphology;
measures of comparison and entropies for fuzzy sets and their
extensions; new trends in data aggregation; pre-aggregation
functions and generalized forms of monotonicity; rough and fuzzy
similarity modelling tools; soft computing for decision making in
uncertainty; soft computing in information retrieval and sentiment
analysis; tri-partitions and uncertainty; decision making modeling
and applications; logical methods in mining knowledge from big
data; metaheuristics and machine learning; optimization models for
modern analytics; uncertainty in medicine; uncertainty in
Video/Image Processing (UVIP).
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