2000
@inproceedings{Heb2000,
vgclass = {refpap},
author = {Georges H\'{e}brail},
title = {Practical data mining in a large utility company},
editor = {Jelke G. Bethlehem and Van Der Heijden, Peter G. M.},
booktitle = {COMPSTAT 2000 --- Proceedings in Computational
Statistics, 14th Symposium},
address = {Utrecht, The Netherlands},
pages = {55--66},
publisher = {Physica Verlag},
month = {August},
year = {2000},
url = {http://www.infres.enst.fr/\~{}hebrail/publications/hdr/Compstat_2000.pdf},
abstract = {We present in this paper the main applications of data
mining techniques at Electricit\'{e} de France, the French national
electric power company. This includes electric load curve analysis and
prediction of customer characteristics. Closely related with data
mining techniques are data warehouse management problems: we show that
statistical methods can be used to help to manage data consistency and
to provide accurate reports even when missing data are present.},
}