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OverviewThis book constitutes the refereed proceedings of the 21st International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2024, held in Umeå, Sweden, during August 27-30, 2024. The 18 full papers were carefully reviewed and selected from 37 submissions. There were organized in topical headings as follows: Fuzzy measures and integrals; uncertainty in AI; clustering; and data science and data privacy. Full Product DetailsAuthor: Vicenç Torra , Yasuo Narukawa , Hiroaki KikuchiPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2024 ed. Volume: 14986 ISBN: 9783031682070ISBN 10: 3031682076 Pages: 252 Publication Date: 17 August 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsFuzzy measures and integrals.- An axiomatic definition of non discrete Mbius transform.- Fuzzy Rough Choquet Distances.- Uncertainty in AI.- Entropies from f divergences.- Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative.- Clustering.- Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor.- On Objective Based Clustering from the Perspective of Transportation Problem.- Data science and data privacy.- Decision Tree Based Inference of Lightning Network Client Implementations.- nuggets Data Pattern Extraction Framework in R.- User centred Argumentation Analysis of Local Explanations in Explainable AI.- Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification.- Bistochastically private release of data streams with delay.- Differentially Private Extreme Learning Machine.- Studying the impact of edge privacy on link prediction in temporal graphs.- Dissimilar Similarities Comparing Human and Statistical Similarity Evaluation in Medical AI.- On the necessity of counterfeits and deletions for continuous data publishing.- A Poisoning-Resilient LDP schema leveraging Oblivious Transfer with the Hadamard Transform.- Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data.- Transforming Stock Price Forecasting Deep Learning Architectures and Strategic Feature Engineering.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |