This is the first textbook on attribute exploration, its theory, its algorithms for
applications, and some of its many possible generalizations. Attribute exploration
is useful for acquiring structured knowledge through an interactive process, by
asking queries to an expert. Generalizations that handle incomplete, faulty, or
imprecise data are discussed, but the focus lies on knowledge extraction from a
reliable information source.
The method is based on Formal Concept Analysis, a mathematical theory of
concepts and concept hierarchies, and uses its expressive diagrams. The presentation
is self-contained. It provides an introduction to Formal Concept Analysis
with emphasis on its ability to derive algebraic structures from qualitative data,
which can be represented in meaningful and precise graphics.
Mục lục
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.Giới thiệu về tác giả
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.Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng PDF ● Trang 315 ● ISBN 9783662492918 ● Kích thước tập tin 3.4 MB ● Nhà xuất bản Springer Berlin ● Thành phố Heidelberg ● Quốc gia DE ● Được phát hành 2016 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 4897389 ● Sao chép bảo vệ DRM xã hội