Conceptual Exploration
Conceptual Exploration
Springer | Computer Science | June 27, 2016 | ISBN-10: 3662492903 | 315 pages | pdf | 3.2 mb
Springer | Computer Science | June 27, 2016 | ISBN-10: 3662492903 | 315 pages | pdf | 3.2 mb
Authors: Ganter, Bernhard, Obiedkov, Sergei
Self contained, with numerous examples
Research, but nevertheless practical
A broad methodology of conceptual knowledge acquisition
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
Number of Illustrations and Tables
148 b/w illustrations
Topics
Data Mining and Knowledge Discovery
Order, Lattices, Ordered Algebraic Structures
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