Text Mining of Supreme Administrative Court Jurisdictions

Ingo Feinerer; Kurt Hornik

Text Mining of Supreme Administrative Court Jurisdictions

Ingo Feinerer
, Kurt Hornik

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Original language	English
Title of host publication	Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization
Editors	Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker
Place of Publication	Albert-Ludwigs-Universität Freiburg
Publisher	Springer
Pages	569 - 576
Publication status	Published - 1 Aug 2008

Cite this

Feinerer, I., & Hornik, K. (2008). Text Mining of Supreme Administrative Court Jurisdictions. In Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker (Ed.), Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization (pp. 569 - 576). Springer.

Feinerer, Ingo ; Hornik, Kurt. / Text Mining of Supreme Administrative Court Jurisdictions. Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. editor / Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker. Albert-Ludwigs-Universität Freiburg : Springer, 2008. pp. 569 - 576

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Feinerer, I & Hornik, K 2008, Text Mining of Supreme Administrative Court Jurisdictions. in Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker (ed.), Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. Springer, Albert-Ludwigs-Universität Freiburg, pp. 569 - 576.

Text Mining of Supreme Administrative Court Jurisdictions. / Feinerer, Ingo; Hornik, Kurt.
Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. ed. / Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker. Albert-Ludwigs-Universität Freiburg: Springer, 2008. p. 569 - 576.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

T1 - Text Mining of Supreme Administrative Court Jurisdictions

AU - Feinerer, Ingo

AU - Hornik, Kurt

PY - 2008/8/1

Y1 - 2008/8/1

M3 - Contribution to conference proceedings

SP - 569

EP - 576

BT - Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization

A2 - Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker, null

PB - Springer

CY - Albert-Ludwigs-Universität Freiburg

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Feinerer I, Hornik K. Text Mining of Supreme Administrative Court Jurisdictions. In Christine Preisach, Hans Burghardt, Lars Schmidt-Thieme and Reinhold Decker, editor, Data Analysis, Machine Learning and Applications, Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., March 7-9, 2007, Studies in Classification, Data Analysis and Knowledge Organization. Albert-Ludwigs-Universität Freiburg: Springer. 2008. p. 569 - 576