Relational Calculus for Actionable Knowledge
暫譯: 可行知識的關聯演算

Barès, Michel, Bossé, Éloi

Relational Calculus for Actionable Knowledge
  • 出版商: Springer
  • 出版日期: 2023-01-23
  • 售價: $2,990
  • 貴賓價: 9.5 折 $2,841
  • 語言: 英文
  • 頁數: 340
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030924327
  • ISBN-13: 9783030924324
  • 相關分類: 微積分 Calculus、SQL

    • 海外代購書籍(需單獨結帳)

商品描述

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 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.

商品描述(中文翻譯)

本書專注於新興科學領域——數據科學所面臨的主要挑戰之一：將數據轉化為可行動的知識，以便利用不斷增長的數據量並應對其固有的複雜性。可行動的知識在管理、商業和社會科學中已經進行了質性和深入的研究，但在計算機科學和工程領域，其與數據挖掘及其演變「知識發現與數據挖掘」（KDD）的關聯則是最近才建立的。數據挖掘旨在從數據中提取有趣的模式，但到目前為止，從數據中發現的模式並不總是對社會技術組織（STO）的決策者來說是「可行動的」。隨著互聯網和連接性的演變，STO已演變為網絡物理和社會系統（CPSS），這些系統被認為描述了當今的世界。在這樣複雜和動態的環境中，傳統的KDD過程是不足夠的，還需要額外的過程來將複雜數據轉化為可行動的知識。

讀者將接觸到先進的知識概念以及旨在提供可行動知識的分析和信息融合（AIF）過程。作者提供了「關係」概念及其利用、關係演算的理解，以及實現語義增長的知識特定維度的形式化，這些都沿著AIF過程進行。本書作為關係演算及其在處理鏈中生成可行動知識的應用的重要技術介紹，特別適合對決策科學和知識工程感興趣的研究生、研究人員或行業專業人士。

作者簡介

Dr. Éloi Bossé is a researcher in decision support and analytics and information fusion (AIF). He possesses vast experience in applying his research to defense and security related problems, and, more recently, to civilian domains. He is currently the president of Expertise Parafuse Inc., a consultant firm on AIF and decision-support. He holds an academic position as an associate researcher at IMT-Atlantique in Brest, France and a Ph.D. in electrical engineering from the Université Laval in Québec City, Canada. Dr. Bossé has published 7 books on AIF related topics and over 200 papers in journals, book chapters, conference proceedings, and technical reports

Dr. Michel Barès is an independent researcher in Artificial Intelligence (AI). He was formerly a researcher at DRET (Direction des Recherches Et Technologies) under the French Ministry of Defense. There, he conducted innovative research projects on symbolic reasoning, decision support, and distributed AI and was a pioneer in introducing distributed AI to military command decision-making. In parallel to his military research work, he has acted as professor for several universities and specialized French schools. Since 2017, he has served as a scientific advisor for Expertises Parafuse Inc., a small research firm located in Québec City, Canada. Dr. Barès holds a Ph.D. in mathematics from the Pierre and Marie Curie University in Paris, France. He has published 8 academic books on computer science and AI and more than 150 scientific publications in journals, conference proceedings, and technical reports.


作者簡介(中文翻譯)

Éloi Bossé 博士 是一位專注於決策支持與分析及資訊融合 (AIF) 的研究員。他在將研究應用於國防和安全相關問題方面擁有豐富的經驗，最近也擴展到民用領域。他目前是 Expertise Parafuse Inc. 的總裁，這是一家專注於 AIF 和決策支持的顧問公司。他在法國布雷斯特的 IMT-Atlantique 擔任副研究員，並持有加拿大魁北克市的拉瓦爾大學電機工程博士學位。Bossé 博士已出版 7 本有關 AIF 的書籍，以及超過 200 篇期刊文章、書籍章節、會議論文和技術報告。

Michel Barès 博士 是一位獨立的人工智慧 (AI) 研究員。他曾是法國國防部 DRET (Direction des Recherches Et Technologies) 的研究員。在那裡，他進行了有關符號推理、決策支持和分散式 AI 的創新研究項目，並在將分散式 AI 引入軍事指揮決策方面開創了先河。除了軍事研究工作外，他還擔任多所大學和法國專業學校的教授。自 2017 年以來，他擔任位於加拿大魁北克市的小型研究公司 Expertises Parafuse Inc. 的科學顧問。Barès 博士擁有法國巴黎的皮埃爾與瑪麗居里大學數學博士學位。他已出版 8 本有關計算機科學和 AI 的學術書籍，以及超過 150 篇期刊文章、會議論文和技術報告。

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