Conceptual Exploration

Bernhard Ganter, Sergei Obiedkov (Autoren)

Buch | Softcover

XVII, 315 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer Berlin (Verlag)
978-3-662-56999-3 (ISBN)

Artikel merken

This is the first textbook on attribute exploration, its theory, its algorithms forapplications, and some of its many possible generalizations. Attribute explorationis useful for acquiring structured knowledge through an interactive process, byasking queries to an expert. Generalizations that handle incomplete, faulty, orimprecise data are discussed, but the focus lies on knowledge extraction from areliable information source.The method is based on Formal Concept Analysis, a mathematical theory ofconcepts and concept hierarchies, and uses its expressive diagrams. The presentationis self-contained. It provides an introduction to Formal Concept Analysiswith emphasis on its ability to derive algebraic structures from qualitative data,which can be represented in meaningful and precise graphics.

Bernhard Ganter is emeritus professor of mathematics at Technische Universität Dresden, Germany. His main research field is Formal Concept Analysis. Sergei Obiedkov is an associate professor at the National Research University Higher School of Economics, Moscow. His research covers topics in data analysis and artificial intelligence, including logical and algorithmic aspects.

What to expect from this book.- Concept lattices.- An algorithm for closure systems.- The canonical basis.- Attribute exploration.- Non-implicational background knowledge.- Enhancing the expressive power.- Relational Exploration.- Concept exploration.

"The book reads smoothly, emphasizes examples over theorems, and has pictures (mainly of concept lattices) and tables galore. ... I thus recommend it to all researchers concerned with FCA or query learning." (Marcel Wild, Mathematical Reviews, May, 2017)

"The book is a very pleasant and interesting reading on attribute exploration from formal concept analysis. Reading it, I felt that all the theoretical background is thoroughly described and always accompanied with many explanations. It also abounds in very illustrative examples, whose solutions are given step by step. ... This is a book written with a lot of enthusiasm all of which will be transferred to its readers." (Catalin Stoean, zbMATH 1357.68004, 2017)

Erscheinungsdatum	05.03.2022
Zusatzinfo	XVII, 315 p. 148 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	5095 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Algebra
Schlagworte	Data Science • formal concept analysis • Implication theories • Knowledge Acquisition • mathematical method
ISBN-10	3-662-56999-X / 366256999X
ISBN-13	978-3-662-56999-3 / 9783662569993
Zustand	Neuware