03161nam 2200517 450 991063773300332120230505142259.03-031-20851-X10.1007/978-3-031-20851-5(MiAaPQ)EBC7167767(Au-PeEL)EBL7167767(CKB)25936576300041(DE-He213)978-3-031-20851-5(PPN)267812221(EXLCZ)992593657630004120230505d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational techniques for intelligence analysis a cognitive approach /Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta1st ed. 2023.Cham, Switzerland :Springer,[2023]©20231 online resource (185 pages)Print version: Loia, Vincenzo Computational Techniques for Intelligence Analysis Cham : Springer International Publishing AG,c2023 9783031208508 Introduction -- Intelligence Analysis -- Foundations of the computational techniques -- Applying Situation Awareness to Intelligence Analysis -- Decision making through what-if analysis -- System modelling with graphs -- Behaviour modelling with fuzzy signatures -- Concept drift analysis with structures of opposition -- Comparing different approaches for implementing probability based rough set operators -- Data streaming scenarios -- Dealing with continuous variables: neighborhood and dominance based rough sets.This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. Intelligence analysis includes methodologies, activities, and tools aimed at obtaining complex information from a set of isolated data gathered from different sensors. The tools aim at increasing the level of situation awareness of decision-makers through the construction of abstract structures supporting human operators in reasoning and making decisions. This book appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications. It is a comprehensive textbook on the subject, supported with case studies and practical examples in Python. The readers will learn how to define decision support systems for the intelligence analysis through the application of situation awareness and granular computing for information processing. .Artificial intelligenceComputational intelligenceRisk management Data processingArtificial intelligence.Computational intelligence.Risk management Data processing.006.3Loia Vincenzo1274853Gaeta AngeloOrciuoli FrancescoMiAaPQMiAaPQMiAaPQBOOK9910637733003321Computational Techniques for Intelligence Analysis3003843UNINA