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Wille, R.: Geometric representations of concept lattices (1989)
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Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1993)
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Ganter, B.; Stahl, J.; Wille, R.: Conceptual measurement and many-valued contexts (1986)
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Vogt, F.; Wachter, C.; Wille, R.: Data analysis based on a conceptual file (1991)
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Rusch, A.; Wille, R.: Knowledge spaces and formal concept analysis (1996)
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Groh, B.; Strahringer, S.; Wille, R.: TOSCANA-systems based on thesauri (1998)
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Luksch, P.; Wille, R.: ¬A mathematical model for conceptual knowledge systems (1991)
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Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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- Knowledge organization. 22(1995) no.2, S.78-81
-
Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000)
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- Abstract
- In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical theory which has been developed and proven useful during the last 20 years. Formal Concept Analysis has led to a theory of conceptual information systems which has been applied by using the management system TOSCANA in a wide range of domains. In this paper, we use such an application in database marketing to demonstrate how methods and procedures of CKDD can be applied in Data Analysis. In particular, we show the interplay and integration of data mining and data analysis techniques based on Formal Concept Analysis. The main concern of this paper is to explain how the transition from data to knowledge can be supported by a TOSCANA system. To clarify the transition steps we discuss their correspondence to the five levels of knowledge representation established by R. Brachman and to the steps of empirically grounded theory building proposed by A. Strauss and J. Corbin
-
Ganter, B.; Wille, R.: Formal concept analysis : mathematical foundations (1998)
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- Footnote
- Rez. in: KO 26(1999) no.3, S.172-173 (U. Priss)
-
Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
0.02
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- Source
- Graph drawing. Ed. R. Tamassia and I.G. Tollis
-
Wille, R.: Line diagrams of hierarchical concept systems (1984)
0.02
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-
Wille, R.: Lattices in data analysis : how to draw them with a computer (1989)
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-
Wille, R.: Concept lattices and conceptual knowledge systems (1992)
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-
Wille, R.: Knowledge acquisition by methods of formal concept analysis (1989)
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-
Ganter, B.; Wille, R.: Conceptual scaling (1989)
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-
Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1992)
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-
Wille, R.: Knowledge acquisition by methods of formal concept analysis (1989)
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-
Eklund, P.; Groh, B.; Stumme, G.; Wille, R.: ¬A conceptual-logic extension of TOSCANA (2000)
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- Abstract
- The aim of this paper is to indicate how TOSCANA may be extended to allow graphical representations not only of concept lattices but also of concept graphs in the sense of Contextual Logic. The contextual- logic extension of TOSCANA requires the logical scaling of conceptual and relational scales for which we propose the Peircean Algebraic Logic as reconstructed by R. W. Burch. As graphical representations we recommend, besides labelled line diagrams of concept lattices and Sowa's diagrams of conceptual graphs, particular information maps for utilizing background knowledge as much as possible. Our considerations are illustrated by a small information system about the domestic flights in Austria
