书目名称 | Relational Calculus for Actionable Knowledge |
编辑 | Michel Barès,Éloi Bossé |
视频video | |
概述 | Applies relational calculus to analytics and information fusion processes.Discusses the engineering of semantics and knowledge technology.Presents the formalization of advanced knowledge concepts |
丛书名称 | Information Fusion and Data Science |
图书封面 |  |
描述 | .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 deliverin |
出版日期 | Book 2022 |
关键词 | Actionable knowledge; Applied relational calculus; Analytics and information fusion; Knowledge discover |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-92430-0 |
isbn_softcover | 978-3-030-92432-4 |
isbn_ebook | 978-3-030-92430-0Series ISSN 2510-1528 Series E-ISSN 2510-1536 |
issn_series | 2510-1528 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |