@incollection{becker2000conceptual,
  abstract = {Conceptual Information Systems are based on a formalization of the concept of ‘concept’ as it is discussed in traditional philosophical logic. This formalization supports a human-centered approach to the development of Information Systems. We discuss this approach by means of an implemented Conceptual Information System for supporting IT security management in companies and organizations.},
  address = {Berlin/Heidelberg},
  affiliation = {Entrust Technologies (Switzerland) Ltd liab. Co Glatt Tower CH-8301 Glattzentrum Switzerland},
  author = {Becker, Klaus and Stumme, Gerd and Wille, Rudolf and Wille, Uta and Zickwolff, Monika},
  booktitle = {Knowledge Engineering and Knowledge Management Methods, Models, and Tools},
  doi = {10.1007/3-540-39967-4_27},
  editor = {Dieng, Rose and Corby, Olivier},
  interhash = {dacb08013d9496d41d4f9f39bce7ecd1},
  intrahash = {283f8a780ac47746cc3031ad47bfdf9c},
  isbn = {978-3-540-41119-2},
  keyword = {Computer Science},
  pages = {352--365},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Information Systems Discussed through an IT-Security Tool},
  url = {http://dx.doi.org/10.1007/3-540-39967-4_27},
  volume = 1937,
  year = 2000
}

@incollection{stumme1998conceptual,
  abstract = {In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge Processing (cf. [29],[30]). Conceptual Knowledge Processing is based on the mathematical theory of Formal Concept Analysis which has become a successful theory for data analysis during the last 18 years. This approach relies on the pragmatic philosophy of Ch.S. Peirce [15] who claims that we can only analyze and argue within restricted contexts where we always rely on pre-knowledge and common sense. The development of Formal Concept Analysis led to the software system TOSCANA, which is presented as a CKDD tool in this paper. TOSCANA is a flexible navigation tool that allows dynamic browsing through and zooming into the data. It supports the exploration of large databases by visualizing conceptual aspects inherent to the data. We want to clarify that CKDD can be understood as a human-centered approach of Knowledge Discovery in Databases. The actual discussion about human-centered Knowledge Discovery is therefore briefly summarized in Section 1.},
  address = {Berlin/Heidelberg},
  affiliation = {Technische Universität Darmstadt Fachbereich Mathematik D-64289 Darmstadt Germany D-64289 Darmstadt Germany},
  author = {Stumme, Gerd and Wille, Rudolf and Wille, Uta},
  booktitle = {Principles of Data Mining and Knowledge Discovery},
  doi = {10.1007/BFb0094849},
  editor = {Zytkow, Jan and Quafafou, Mohamed},
  interhash = {5ef89b6f8fb22f9d24eda7da71b8bdb1},
  intrahash = {a9859c988f19684b76dc5a3f24e8278e},
  isbn = {978-3-540-65068-3},
  keyword = {Computer Science},
  pages = {450--458},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Knowledge Discovery in Databases using formal concept analysis methods},
  url = {http://dx.doi.org/10.1007/BFb0094849},
  volume = 1510,
  year = 1998
}

@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.},
  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},
  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},
  pages = {421--437},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Knowledge Discovery and Data Analysis},
  url = {http://dx.doi.org/10.1007/10722280_29},
  volume = 1867,
  year = 2000
}

@misc{takacs1984two,
  author = {Tak�cs, Viola},
  howpublished = {Manuscript of a lecture given at TH Darmstadt, 60 pages},
  interhash = {6db94167fd9e6b3b1d1a4d876d765bd0},
  intrahash = {b2ddc22e6366c21d996f56bfa06908dd},
  month = {February},
  title = {Two applications of {G}alois graphs in pedagogical research},
  year = 1984
}

@misc{takacs1984two,
  author = {Takàcs, Viola},
  howpublished = {Manuscript of a lecture given at TH Darmstadt, 60 pages},
  interhash = {59c57cb782a27c032d4cb73c7a3fcaa3},
  intrahash = {719d3d4c1dd3a0aa210493074dd9f128},
  month = {February},
  title = {Two applications of {G}alois graphs in pedagogical research},
  year = 1984
}