@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
}

@article{hereth03conceptual,
  abstract = {In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge
 Processing. 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 two decades. CKDD aims to support a human-centered process
of discovering knowledge from data by visualizing and analyzing
the conceptual structure of the data. We dicuss how the
management system TOSCANA for conceptual information systems
supports CKDD, and illustrate it by two applications in database
marketing and flight movement analysis. Finally, we present a
new tool for conceptual deviation discovery, Chianti.},
  author = {Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta},
  comment = {alpha},
  interhash = {a9c05101aeb799232425d7651a581684},
  intrahash = {edffeb9bd2aaac559f2a6233dd49ae3b},
  journal = {Journal of Applied Artificial Intelligence (AAI)},
  number = 3,
  pages = {281-301},
  privnote = {alpha},
  title = {Conceptual Knowledge Discovery - a Human-Centered Approach},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf},
  volume = 17,
  year = 2003
}