Formal Concept Analysis

In information science, formal concept analysis is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties. Each concept in the hierarchy represents the set of objects sharing the same values for a certain set of properties; and each sub-concept in the hierarchy contains a subset of the objects in the concepts above it. The term was introduced by Rudolf Wille in 1984, and builds on applied lattice and order theory that was developed by Birkhoff and others in the 1930s.

Formal concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management, semantic web, software development, and biology.

Read more about Formal Concept AnalysisOverview and History, Motivation and Philosophical Background

Other articles related to "formal concept analysis, concept, formal":

Rudolf Wille
... His most celebrated work is the invention of Formal concept analysis, a supervised machine learning technique that applies mathematical lattice ... Wille continues to play an active leadership role in the concept lattice research community ... From 1983, he has been leader of the research group on Formal concept analysis and since 1993 Chairman of the "Ernst Schröder Center for Conceptual Knowledge Engineering" ...
Formal Concept Analysis - Motivation and Philosophical Background
... In his article Restructuring Lattice Theory (1982) initiating formal concept analysis as a mathematical discipline, Rudolf Wille starts from a discontent with the current ... Hence, by its origins formal concept analysis aims at interdisciplinarity and democratic control of research ... It corrects the starting point of lattice theory during the development of formal logic in 19th century ...

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