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.
| Autor: | Ganter, Bernhard Obiedkov, Sergei |
|---|---|
| ISBN: | 9783662569993 |
| Sprache: | Englisch |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Nature EN |
| Veröffentlicht: | 30.05.2018 |
| Schlagworte: | Algebra B Data Mining Data Mining and Knowledge Discovery Expert systems / knowledge-based systems Order, Lattices, Ordered Algebraic Structures Ordered algebraic structures Wissensbasierte Systeme, Expertensysteme computer science |
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.