Computational techniques for intelligence analysis : a cognitive approach / Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta.
Loia, Vincenzo, 1961- author.; Orciuoli, Francesco, author.; Gaeta, Angelo, author.
2023
Q342
Available Online

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Title
Computational techniques for intelligence analysis : a cognitive approach / Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta.
Author
Loia, Vincenzo, 1961- author.
ISBN
9783031208515 (electronic bk.)
303120851X (electronic bk.)
9783031208508 (print)
3031208501
DOI
https://doi.org/10.1007/978-3-031-20851-5
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xii, 181 pages) : illustrations (some color)
Item Number
10.1007/978-3-031-20851-5 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 23, 2023).
Added Author
Orciuoli, Francesco, author.
Gaeta, Angelo, author.
Available in Other Form
Print version: 9783031208508
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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.

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