Conceptual Exploration

Zusatztext

<div>This is the first textbook on attribute exploration, its theory, its algorithms for</div><div>applications, and some of its many possible generalizations. Attribute exploration</div><div>is useful for acquiring structured knowledge through an interactive process, by</div><div>asking queries to an expert. Generalizations that handle incomplete, faulty, or</div><div>imprecise data are discussed, but the focus lies on knowledge extraction from a</div><div>reliable information source.</div><div>The method is based on Formal Concept Analysis, a mathematical theory of</div><div>concepts and concept hierarchies, and uses its expressive diagrams. The presentation</div><div>is self-contained. It provides an introduction to Formal Concept Analysis</div><div>with emphasis on its ability to derive algebraic structures from qualitative data,</div><div>which can be represented in meaningful and precise graphics.</div>

Autorenportrait

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

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