TY - GEN
T1 - Enhancing flexibility and expressivity of contextual hierarchies
AU - Pitarch, Y.
AU - Favre, Cécile
AU - Laurent, Anne
AU - Poncelet, Pascal
PY - 2012
Y1 - 2012
N2 - Data warehouses are nowadays extensively used to perform analyses on huge volume of data. This success is partly due to the capacity of considering data at several granularity levels thanks to the use of hierarchies. However, in previous work, we showed that the experts knowledge was not much considered in the generalization process. To overcome this drawback, we introduced a new category of hierarchies, namely the contextual hierarchies. Unfortunately, in contrast to the complexity of expert knowledge that should be considered, the knowledge definition process was too rigid. In this paper, we extend these hierarchies and their related techniques to drastically increase their flexibility and expressivity. To this purpose, we adopt a fuzzy-based methodology which allows to express expert knowledge in a very convenient way. Experiment results obtained on synthetic datasets show that the contextual generalization process is very fast and can thus be used in practice.
AB - Data warehouses are nowadays extensively used to perform analyses on huge volume of data. This success is partly due to the capacity of considering data at several granularity levels thanks to the use of hierarchies. However, in previous work, we showed that the experts knowledge was not much considered in the generalization process. To overcome this drawback, we introduced a new category of hierarchies, namely the contextual hierarchies. Unfortunately, in contrast to the complexity of expert knowledge that should be considered, the knowledge definition process was too rigid. In this paper, we extend these hierarchies and their related techniques to drastically increase their flexibility and expressivity. To this purpose, we adopt a fuzzy-based methodology which allows to express expert knowledge in a very convenient way. Experiment results obtained on synthetic datasets show that the contextual generalization process is very fast and can thus be used in practice.
UR - http://www.scopus.com/inward/record.url?scp=84867593950&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2012.6251176
DO - 10.1109/FUZZ-IEEE.2012.6251176
M3 - Article in proceeding
AN - SCOPUS:84867593950
SN - 978-1-4673-1506-7
T3 - IEEE International Conference on Fuzzy Systems - Proceedings
BT - IEEE International Conference on Fuzzy Systems
PB - IEEE
T2 - 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Y2 - 10 June 2012 through 15 June 2012
ER -