J. Hereth, G. Stumme, R. Wille, and U. Wille. Conceptual Structures: Logical, Linguistic, and Computational Issues, volume 1867 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
DOI: 10.1007/10722280_29
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 groun ded theory building proposed by A. Strauss and J. Corbin.
%0 Book Section
%1 hereth2000conceptual
%A Hereth, Joachim
%A Stumme, Gerd
%A Wille, Rudolf
%A Wille, Uta
%B Conceptual Structures: Logical, Linguistic, and Computational Issues
%C Berlin/Heidelberg
%D 2000
%E Ganter, Bernhard
%E Mineau, Guy
%I Springer
%K analyis application concept example fca formal jelmoli kdd
%P 421--437
%R 10.1007/10722280_29
%T Conceptual Knowledge Discovery and Data Analysis
%U http://dx.doi.org/10.1007/10722280_29
%V 1867
%X 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 groun ded theory building proposed by A. Strauss and J. Corbin.
%@ 978-3-540-67859-5
@incollection{hereth2000conceptual,
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 groun ded theory building proposed by A. Strauss and J. Corbin.},
added-at = {2012-10-22T14:14:05.000+0200},
address = {Berlin/Heidelberg},
affiliation = {Fachbereich Mathematik, Technische Universität Darmstadt, Schloßgartenstr. 7, D-64289 Darmstadt, Germany},
author = {Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta},
biburl = {https://www.bibsonomy.org/bibtex/289154e5d16a6533280b612e9d3ab8aa6/jaeschke},
booktitle = {Conceptual Structures: Logical, Linguistic, and Computational Issues},
doi = {10.1007/10722280_29},
editor = {Ganter, Bernhard and Mineau, Guy},
interhash = {8a4c0c21d83c25bb78f80e89dd36a89a},
intrahash = {89154e5d16a6533280b612e9d3ab8aa6},
isbn = {978-3-540-67859-5},
keyword = {Computer Science},
keywords = {analyis application concept example fca formal jelmoli kdd},
pages = {421--437},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2014-07-28T15:57:31.000+0200},
title = {Conceptual Knowledge Discovery and Data Analysis},
url = {http://dx.doi.org/10.1007/10722280_29},
volume = 1867,
year = 2000
}