Zusammenfassung
Quality early warning and proactive customer churn detection are two examples of applications that can benefit from insights gained from unstructured text data. The term "Unstructured Business Intelligence" describes methods and tools that enable data war
Lang, A., Mera Ortiz, M. & Abraham, S.,
(2009).
Enhancing business intelligence with unstructured data.
In:
Freytag, J.-C., Ruf, T., Lehner, W. & Vossen, G.
(Hrsg.),
Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS).
Bonn:
Gesellschaft für Informatik e.V..
(S. 469-485).
@inproceedings{mci/Lang2009,
author = {Lang, Alexander AND Mera Ortiz, Maria AND Abraham, Stefan},
title = {Enhancing business intelligence with unstructured data},
booktitle = {Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)},
year = {2009},
editor = {Freytag, Johann-Christoph AND Ruf, Thomas AND Lehner, Wolfgang AND Vossen, Gottfried}
,
pages = {
469-485
},
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
(en)