Relational Calculus for Actionable Knowledge / by Michel Barès, Éloi Bossé
(Information Fusion and Data Science. ISSN:25101536)
データ種別 | 電子ブック |
---|---|
版 | 1st ed. 2022. |
出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2022 |
大きさ | XX, 340 p. 142 illus., 62 illus. in color : online resource |
著者標目 | *Barès, Michel author Bossé, Éloi author SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | 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. HTTP:URL=https://doi.org/10.1007/978-3-030-92430-0 |
---|---|
件 名 | LCSH:Artificial intelligence -- Data processing
全ての件名で検索
LCSH:Coding theory LCSH:Information theory LCSH:Proof theory LCSH:Expert systems (Computer science) LCSH:Knowledge, Theory of FREE:Data Science FREE:Coding and Information Theory FREE:Proof Theory and Constructive Mathematics FREE:Knowledge Based Systems FREE:Epistemology |
分 類 | LCC:Q336 DC23:005.7 |
書誌ID | EB00002240 |
ISBN | 9783030924300 |
類似資料
この資料の利用統計
このページへのアクセス回数:8回
※2019年3月27日以降
全貸出数:0回
(1年以内の貸出:0回)
※2019年3月27日以降