Relational Calculus for Actionable Knowledge

Relational Calculus for Actionable Knowledge PDF Author: Michel Barès
Publisher: Springer Nature
ISBN: 3030924300
Category : Computers
Languages : en
Pages : 356

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Book Description
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.

Relational Calculus for Actionable Knowledge

Relational Calculus for Actionable Knowledge PDF Author: Michel Barès
Publisher: Springer Nature
ISBN: 3030924300
Category : Computers
Languages : en
Pages : 356

Get Book Here

Book Description
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.

Relational calculus and data dependencies

Relational calculus and data dependencies PDF Author: Wojciech Buszkowski
Publisher:
ISBN:
Category :
Languages : pl
Pages : 42

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Book Description


Theory and Applications of Relational Structures as Knowledge Instruments

Theory and Applications of Relational Structures as Knowledge Instruments PDF Author: Harrie de Swart
Publisher: Springer
ISBN: 3540246150
Category : Computers
Languages : en
Pages : 280

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Book Description
Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields. The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.

Tuple Relational Calculus Interface for Relational Databases

Tuple Relational Calculus Interface for Relational Databases PDF Author: Sonali S. Raokhande
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Database Series

Database Series PDF Author: Muhammad Faheem
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Develop a foundation in relational algebra and relational calculus, and then apply these concepts using MariaDB in this comprehensive course. Become proficient in how procedural query languages align with relational algebra, and how non-procedural query languages align with relational calculus. These 32 topics will explain these essential math and database concepts: Course Introduction . Learn about this entire database series course in this first topic in the Relational Algebra and Relational Calculus series. Database Query Languages . Be able to explain database query language in this second topic in the Relational Algebra and Relational Calculus series. A query language is a language which is used to retrieve information from a database. Know the difference between both procedural and non-procedural query languages. Relational Algebra . Be able to explain the concepts of relational algebra in this third topic in the Relational Algebra and Relational Calculus series. Relational Algebra Operations . Be able to explain the five fundamental relational algebra operations in this fourth topic in the Relational Algebra and Relational Calculus series. These include selection, projection, Cartesian project, union, and set operations. Install the Xampp Server and Sublime Editor . Install the Xampp server and sublime editor in this fifth topic in the Relational Algebra and Relational Calculus series. Unary Operations: Concept . Know the math behind unary operations in this sixth topic in the Relational Algebra and Relational Calculus series. Understand the Select operation. SQL Unary Operations: In Practice . Practice performing unary operations using SQL in this seventh topic in the Relational Algebra and Relational Calculus series. Unary Operations: In Practice . Practice using unary operations in this eighth topic in the Relational Algebra and Relational Calculus series. Union Operation: Concept . Know the math behind the union operation in this ninth topic in the Relational Algebra and Relational Calculus series. This is the first type of set operation we will cover. Union Operation: In Practice . Practice using the union operation in this tenth topic in the Relational Algebra and Relational Calculus series. Set Difference Operation: Concept . Know the math behind the set difference operation in this 11th topic in the Relational Algebra and Relational Calculus series. Set Difference Operation: In Practice . Practice using the set difference operat...

Relational Calculus and Relational Program Semantics

Relational Calculus and Relational Program Semantics PDF Author: Rutger M. Dijkstra
Publisher:
ISBN:
Category :
Languages : en
Pages : 93

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Book Description


Wellbeing in Early Modern Christianity

Wellbeing in Early Modern Christianity PDF Author: Karla Boersma
Publisher: Vandenhoeck & Ruprecht
ISBN: 3647500852
Category : Religion
Languages : en
Pages : 287

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Book Description
Today, wellbeing is high on the personal and societal agenda, but thinking about wellbeing certainly is not a new phenomenon. The Greek philosopher Aristotle, for example, came up with the concept of Eudaimonia – the contented state of feeling healthy, happy, and prosperous – and this concept has been influential up until today. Starting from Augustine's thoughts on the topic of wellbeing, which had a great influence on theologians and others in the Early Modern Era, the contributions in this book reflect on a variety of topics ranging from wellbeing for the soul and the body to broader related concepts and theories approaching the theme from such disciplines as music, literature, history and theology.

Collected papers on finitist mathematics and phenomenalism

Collected papers on finitist mathematics and phenomenalism PDF Author: Loke Hagberg
Publisher: BoD - Books on Demand
ISBN: 9180800238
Category : Mathematics
Languages : en
Pages : 194

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Book Description
This is a clarification of and development upon my previous work. It includes a rework of "Concerning the weakest coherent formalization of methodological skepticism as a Bayesian updater" and "On the finitist Wolfram physics model", then there is an outline of finite content theory and mathematical notes in various areas. Digital phenomenology itself is the study of a finitist (and therefore discrete) phenomenalism. It also includes my work on predictive liquid democracy, where liquid democracy is combined with prediction markets. The system allows for local satisfaction of Condorcet's jury theorem extended to multiple alternatives. See the part about predictive liquid democracy.

Machine Learning and Data Mining for Sports Analytics

Machine Learning and Data Mining for Sports Analytics PDF Author: Ulf Brefeld
Publisher: Springer
ISBN: 3030172740
Category : Computers
Languages : en
Pages : 179

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Book Description
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

How Learning Works

How Learning Works PDF Author: Susan A. Ambrose
Publisher: John Wiley & Sons
ISBN: 0470617608
Category : Education
Languages : en
Pages : 336

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Book Description
Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning