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RT Book, Whole SR Electronic DC OPAC T1 Relational Calculus for Actionable Knowledge / by Michel Barès, Éloi Bossé T2 Information Fusion and Data Science. ISSN:25101536 A1 Barès, Michel A1 Bossé, Éloi A1 SpringerLink (Online service) YR 2022 FD 2022 SP XX, 340 p. 142 illus., 62 illus. in color K1 Artificial intelligence -- Data processing K1 Coding theory K1 Information theory K1 Proof theory K1 Expert systems (Computer science) K1 Knowledge, Theory of K1 Data Science K1 Coding and Information Theory K1 Proof Theory and Constructive Mathematics K1 Knowledge Based Systems K1 Epistemology ED 1st ed. 2022. PB Springer International Publishing : Imprint: Springer PP Cham SN 9783030924300 LA English (英語) CL LCC:Q336 CL DC23:005.7 NO 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. NO 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. NO HTTP:URL=https://doi.org/10.1007/978-3-030-92430-0 NO 書誌ID=EB00002240; LK [E Book]https://doi.org/10.1007/978-3-030-92430-0 OL 30