東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Computational techniques for intelli...

Loia, Vincenzo.

Linked to FindBook

Google Book

Amazon

博客來

Computational techniques for intelligence analysis = a cognitive approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational techniques for intelligence analysis/ by Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta.
Reminder of title:	a cognitive approach /
Author:	Loia, Vincenzo.
other author:	Orciuoli, Francesco.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xii, 181 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computational Intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-20851-5
ISBN:	9783031208515

Computational techniques for intelligence analysis = a cognitive approach /
Loia, Vincenzo.

Computational techniques for intelligence analysisa cognitive approach /[electronic resource] :by Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta. - Cham :Springer International Publishing :2023. - xii, 181 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783031208515

Standard No.: 10.1007/978-3-031-20851-5doiSubjects--Topical Terms:

1001631
Computational Intelligence.

LC Class. No.: Q342 / .L65 2023

Dewey Class. No.: 006.3

Computational techniques for intelligence analysis = a cognitive approach /
LDR:02528nmm a2200325 a 4500 001 2314960
003 DE-He213
005 20230101173133.0
006 m d
007 cr nn 008mamaa
008 230902s2023 sz s 0 eng d
020 $a 9783031208515 $q (electronic bk.)
020 $a 9783031208508 $q (paper)
024 7 $a 10.1007/978-3-031-20851-5 $2 doi
035 $a 978-3-031-20851-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .L65 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .L834 2023
100 1 $a Loia, Vincenzo. $3 3221363
245 1 0 $a Computational techniques for intelligence analysis $h [electronic resource] : $b a cognitive approach / $c by Vincenzo Loia, Francesco Orciuoli, Angelo Gaeta.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xii, 181 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 0 $a Computational intelligence. $3 595739
650 0 $a Artificial intelligence. $3 516317
650 0 $a Risk management $x Data processing. $3 749272
700 1 $a Orciuoli, Francesco. $3 3626909
700 1 $a Gaeta, Angelo. $3 3626910
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-20851-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)