Computational Techniques for Intelligence Analysis - Loia, Vincenzo

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Résumé :
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. ...

Biographie:
Vincenzo Loia received the master's degree in computer science from the University of Salerno, Fisciano, Italy, in 1985, and the Ph.D. degree in computer science from the University of Paris 6, Paris, France, in 1989. He is currently a rector of the University of Salerno (from November 2019) and a full professor of computer science with the University of Salerno where he held the position of researcher from 1989 to 2000 and as an associate professor from 2000 to 2004. Since the beginning of his career, he has shown a deep and operational research interest, in particular in the use of innovative approaches for solving complex problems through new paradigms of software design and programming, that of agent and multi-agent systems...

Sommaire:
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. ...