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Relational calculus for actionable k...

Bares, Michel.

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Relational calculus for actionable knowledge

Record Type:	Electronic resources : Monograph/item
Title/Author:	Relational calculus for actionable knowledge/ by Michel Bares, Eloi Bosse.
Author:	Bares, Michel.
other author:	Bosse, Eloi.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xx, 340 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter1. Introduction to Actionable Knowledge: Concepts & Definitions -- Chapter2. Knowledge and its Dimensions -- Chapter3. The Knowledge Chain -- Chapter4. Preliminaries on Crisp and Fuzzy Relational Calculus -- Chapter5. Actionable Knowledge for Efficient Actions -- Chapter6. Relational Calculus for the Generation of Actionable Knowledge -- Chapter7. Conclusion.
Contained By:	Springer Nature eBook
Subject:	Relational calculus. -
Online resource:	https://doi.org/10.1007/978-3-030-92430-0
ISBN:	9783030924300

Relational calculus for actionable knowledge
Bares, Michel.

Relational calculus for actionable knowledge[electronic resource] /by Michel Bares, Eloi Bosse. - Cham :Springer International Publishing :2022. - xx, 340 p. :ill. (some col.), digital ;24 cm. - Information fusion and data science,2510-1536. - Information fusion and data science..

Chapter1. Introduction to Actionable Knowledge: Concepts & Definitions -- Chapter2. Knowledge and its Dimensions -- Chapter3. The Knowledge Chain -- Chapter4. Preliminaries on Crisp and Fuzzy Relational Calculus -- Chapter5. Actionable Knowledge for Efficient Actions -- Chapter6. Relational Calculus for the Generation of Actionable Knowledge -- Chapter7. Conclusion.

This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, 'Knowledge Discovery and Data Mining' (KDD) Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been 'actionable' for decision-makers in Socio-Technical Organizations (STO) With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of 'relation' and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.

ISBN: 9783030924300

Standard No.: 10.1007/978-3-030-92430-0doiSubjects--Topical Terms:

3592046
Relational calculus.

LC Class. No.: QA76.9.D343 / B37 2022

Dewey Class. No.: 006.3120151

Relational calculus for actionable knowledge
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245 1 0 $a Relational calculus for actionable knowledge $h [electronic resource] / $c by Michel Bares, Eloi Bosse.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 340 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Information fusion and data science, $x 2510-1536
505 0 $a Chapter1. Introduction to Actionable Knowledge: Concepts & Definitions -- Chapter2. Knowledge and its Dimensions -- Chapter3. The Knowledge Chain -- Chapter4. Preliminaries on Crisp and Fuzzy Relational Calculus -- Chapter5. Actionable Knowledge for Efficient Actions -- Chapter6. Relational Calculus for the Generation of Actionable Knowledge -- Chapter7. Conclusion.
520 $a This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, 'Knowledge Discovery and Data Mining' (KDD) Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been 'actionable' for decision-makers in Socio-Technical Organizations (STO) With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of 'relation' and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.
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650 2 4 $a Coding and Information Theory. $3 891252
650 2 4 $a Proof Theory and Constructive Mathematics. $3 3592047
650 2 4 $a Knowledge Based Systems. $3 3538738
650 2 4 $a Epistemology. $3 896969
700 1 $a Bosse, Eloi. $3 3386283
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773 0 $t Springer Nature eBook
830 0 $a Information fusion and data science. $3 3386285
856 4 0 $u https://doi.org/10.1007/978-3-030-92430-0
950 $a Computer Science (SpringerNature-11645)