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008			220121s2022 sz | s |||| 0|eng d
020			_a9783030924300
024	7		_a10.1007/978-3-030-92430-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC20 _b2022 EB
100	1		_aBarès, Michel _eautor _9683334
245	1	0	_aRelational Calculus for Actionable Knowledge _cby Michel Barès, Éloi Bossé
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XX, 340 páginas) _b142 ilustraciones, 62 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aInformation Fusion and Data Science _x2510-1536
505	0		_aChapter1. 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			_aThis 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.
988			_aSpringer_Computer_2022
650		7	_2embne _9139231 _aFísica matemática
700	1		_aBossé, Éloi, _eautor _9683335 _d1956-
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030924294
776	0	8	_iPrinted edition: _z9783030924317
776	0	8	_iPrinted edition: _z9783030924324
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92430-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eu _zSI