Practical Data Mining in a large utility company.

Hébrail, Georges. "Practical Data Mining in a large utility company.." Qüestiió 25.3 (2001): 509-520. <http://eudml.org/doc/40351>.

@article{Hébrail2001,
abstract = {We present in this paper the main applications of data mining techniques at Electricité 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.},
author = {Hébrail, Georges},
journal = {Qüestiió},
keywords = {Análisis de datos; Empresa pública; Minería de datos},
language = {eng},
number = {3},
pages = {509-520},
title = {Practical Data Mining in a large utility company.},
url = {http://eudml.org/doc/40351},
volume = {25},
year = {2001},
}

TY - JOUR
AU - Hébrail, Georges
TI - Practical Data Mining in a large utility company.
JO - Qüestiió
PY - 2001
VL - 25
IS - 3
SP - 509
EP - 520
AB - We present in this paper the main applications of data mining techniques at Electricité 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.
LA - eng
KW - Análisis de datos; Empresa pública; Minería de datos
UR - http://eudml.org/doc/40351
ER -