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  • × author_ss:"Wille, R."
  • × language_ss:"e"
  1. Ganter, B.; Stahl, J.; Wille, R.: Conceptual measurement and many-valued contexts (1986) 0.07
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    Source
    Classification as a tool of research. Ed.: W. Gaul u. M. Schader
  2. Rusch, A.; Wille, R.: Knowledge spaces and formal concept analysis (1996) 0.02
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    Source
    Data analysis and information systems, statistical and conceptual approaches: Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Basel, March 8-10, 1995. Ed.: H.-H. Bock u. W. Polasek
  3. Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.01
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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
  4. Vogt, F.; Wachter, C.; Wille, R.: Data analysis based on a conceptual file (1991) 0.01
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    Source
    Classification, data analysis, and knowledge organization. Ed.: H.H. Bock u. P. Ihm
  5. Groh, B.; Strahringer, S.; Wille, R.: TOSCANA-systems based on thesauri (1998) 0.01
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    Source
    Conceptual structures: theory, tools and applications. 6th International Conference on conceptual Structures, ICCS'98, Montpellier, France, August, 10-12, 1998, Proceedings. Ed.: M.L. Mugnier u. M. Chein
  6. Luksch, P.; Wille, R.: ¬A mathematical model for conceptual knowledge systems (1991) 0.00
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    Source
    Classification, data analysis, and knowledge organization: models and methods with applications. Proc. of the 14th annual conf. of the Gesellschaft für Klassifikation, Univ. of Marburg, 12.-14.3.1990. Ed.: H.-H. Bock u. P. Ihm
  7. Ganter, B.; Wille, R.: Formal concept analysis : mathematical foundations (1998) 0.00
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    Footnote
    Rez. in: KO 26(1999) no.3, S.172-173 (U. Priss)
  8. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.00
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    Source
    Knowledge organization. 22(1995) no.2, S.78-81
  9. Eklund, P.; Groh, B.; Stumme, G.; Wille, R.: ¬A conceptual-logic extension of TOSCANA (2000) 0.00
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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