Vincenzo Loia,Francesco Orciuoli,Angelo Gaeta
Computational Techniques for Intelligence Analysis: A Cognitive Approach
Computational Techniques for Intelligence Analysis: A Cognitive Approach
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This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. It appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications.
Format: Hardback
Length: 181 pages
Publication date: 03 January 2023
Publisher: Springer International Publishing AG
This book delves into the realm of defining and implementing data-driven computational tools that cater to decision-making across diverse intelligence scenarios. Intelligence analysis encompasses a range of methodologies, activities, and tools designed to extract intricate insights from a collection of isolated data sourced from various sensors. These tools serve the purpose of enhancing decision-makers' situational awareness by constructing abstract frameworks that facilitate human operators in reasoning and making informed decisions. This comprehensive textbook appeals to students, professionals, and academic researchers alike, specializing in computational intelligence and approximate reasoning applications. It is extensively supported with case studies and practical examples implemented in Python, enabling readers to gain practical knowledge on how to design decision support systems for intelligence analysis by leveraging situation awareness and granular computing for information processing.
Intelligence analysis encompasses a diverse array of methodologies, activities, and tools aimed at extracting complex information from a collection of isolated data gathered from various sensors. These tools serve the purpose of enhancing decision-makers' situational awareness by constructing abstract frameworks that facilitate human operators in reasoning and making informed decisions. This comprehensive textbook appeals to students, professionals, and academic researchers alike, specializing in computational intelligence and approximate reasoning applications. It is extensively supported with case studies and practical examples implemented in Python, enabling readers to gain practical knowledge on how to design decision support systems for intelligence analysis by leveraging situation awareness and granular computing for information processing.
Weight: 465g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031208508
Edition number: 1st ed. 2023
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