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Ganter, B.; Stahl, J.; Wille, R.: Conceptual measurement and many-valued contexts (1986)
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Rusch, A.; Wille, R.: Knowledge spaces and formal concept analysis (1996)
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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
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Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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- Source
- Knowledge organization. 22(1995) no.2, S.78-81
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Reinartz, T.P.; Zickwolff, M.: ¬Two conceptual approaches to acquire human expert knowledge in a complex real world domain (1996)
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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
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Priss, U.: Faceted information representation (2000)
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- Date
- 22. 1.2016 17:47:06
-
Priss, U.: Faceted knowledge representation (1999)
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- Date
- 22. 1.2016 17:30:31
-
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
-
Kumar, C.A.; Radvansky, M.; Annapurna, J.: Analysis of Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for information retrieval (2012)
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-
Luksch, P.; Wille, R.: ¬A mathematical model for conceptual knowledge systems (1991)
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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
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Sedelow, S.Y.; Sedelow, W.A.: Thesauri and concept-lattice semantic nets (1994)
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- Source
- Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al
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Kent, R.E.: Implications and rules in thesauri (1994)
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- Source
- Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al
