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Ganter, B.; Stahl, J.; Wille, R.: Conceptual measurement and many-valued contexts (1986) 0.02

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Kollewe, W.; Sander, C.; Schmiede, R.; Wille, R.: TOSCANA als Instrument der bibliothekarischen Sacherschließung (1995) 0.01

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Source: Aufbau und Erschließung begrifflicher Datenbanken: Beiträge zur bibliothekarischen Klassifikation. Eine Auswahl von Vorträgen der Jahrestagungen 1993 (Kaiserslautern) und 1994 (Oldenburg) der Gesellschaft für Klassifikation. Hrsg.: H. Havekost u. H.-J. Wätjen

Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.01

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Source: Knowledge organization. 22(1995) no.2, S.78-81

Priss, U.: Faceted information representation (2000) 0.01

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Date: 22. 1.2016 17:47:06

Priss, U.: Faceted knowledge representation (1999) 0.01

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Date: 22. 1.2016 17:30:31

Kipke, U.; Wille, R.: Begriffsverbände als Ablaufschemata zur Gegenstandsbestimmung (1986) 0.01

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Source: Die Klassifikation und ihr Umfeld. Proc. 10. Jahrestagung der Gesellschaft für Klassifikation, Münster, 18.-21.6.1986. Hrsg.: P. Degens, H.-J. Hermes, O. Opitz

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

Kumar, C.A.; Radvansky, M.; Annapurna, J.: Analysis of Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for information retrieval (2012) 0.01

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