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@inproceedings{403529,
author = {Žižka, Jan and Bourek, Aleš},
address = {Berlin Heidelberg New York},
booktitle = {Text, Speech and Dialogue TSD-2002},
keywords = {medical text analysis; medical text filtering; medical text classification},
language = {eng},
location = {Berlin Heidelberg New York},
isbn = {3-540-44129-8},
pages = {99-106},
publisher = {Springer Verlag},
title = {Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA},
year = {2002}
}
TY - JOUR
ID - 403529
AU - Žižka, Jan - Bourek, Aleš
PY - 2002
TI - Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
PB - Springer Verlag
CY - Berlin Heidelberg New York
SN - 3540441298
KW - medical text analysis
KW - medical text filtering
KW - medical text classification
N2 - Text-document-filtering system based on the Bayes classification method with additional functions for classification of unstructured medical texts. The system uses supervised learning based on data examles.
ER -
ŽIŽKA, Jan a Aleš BOUREK. Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA. In \textit{Text, Speech and Dialogue TSD-2002}. Berlin Heidelberg New York: Springer Verlag, 2002, s.~99-106. ISBN~3-540-44129-8.
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