TY  - GEN
N2  - 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.
AB  - 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.
T1  - Conceptual exploration
AU  - Ganter, Bernhard,
AU  - Obiedkov, Sergei,
CN  - QA76.9.D343
ID  - 755579
KW  - Attribute focusing (Data mining)
KW  - Mathematical analysis.
KW  - Concept mapping.
SN  - 9783662492918
SN  - 3662492911
TI  - Conceptual exploration
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-49291-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-49291-8
ER  -