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Conceptual knowledge discovery and data analysis
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.
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.
Citation
@article{urn:nbn:de:hebis:34-2009022326363,
author={Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta},
title={Conceptual knowledge discovery and data analysis},
year={2000}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2000$n2000 1500 1/eng 2050 ##0##urn:nbn:de:hebis:34-2009022326363 3000 Hereth, Joachim 3010 Stumme, Gerd 3010 Wille, Rudolf 3010 Wille, Uta 4000 Conceptual knowledge discovery and data analysis / Hereth, Joachim 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/urn:nbn:de:hebis:34-2009022326363=x R 4204 \$dAufsatz 4170 5550 {{Wissenserwerb}} 5550 {{Formale Begriffsanalyse}} 7136 ##0##urn:nbn:de:hebis:34-2009022326363
2009-02-23T15:14:34Z 2009-02-23T15:14:34Z 2000 urn:nbn:de:hebis:34-2009022326363 http://hdl.handle.net/123456789/2009022326363 167844 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Conceptual knowledge discovery and data analysis Aufsatz 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. open access Hereth, Joachim Stumme, Gerd Wille, Rudolf Wille, Uta Extern Auch erschienen in: Ganter, Bernhard u.a. (Hrsg.): Conceptual structures. (Lecture notes in computer science ; 1867). Berlin u.a. : Springer, 2000. S. 421-437. ISBN 3-540-67859-X (The original publication is available at www.springerlink.com) Wissenserwerb Formale Begriffsanalyse
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