Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{818315, author = {Večeřa, Martin and Popelínský, Lubomír}, address = {Praha}, booktitle = {Late Breaking Papers, Inductive Logic Programming, 18th International Conference}, keywords = {spatio-temporal data; multi-relational data mining; frequent pat- terns; association rules}, language = {eng}, location = {Praha}, isbn = {978-80-86742-26-7}, pages = {117-122}, publisher = {FEL ČVUT}, title = {Relational Data Mining in Crisis Management}, url = {http://www.fi.muni.cz/kd}, year = {2008} }
TY - JOUR ID - 818315 AU - Večeřa, Martin - Popelínský, Lubomír PY - 2008 TI - Relational Data Mining in Crisis Management PB - FEL ČVUT CY - Praha SN - 9788086742267 KW - spatio-temporal data KW - multi-relational data mining KW - frequent pat- terns KW - association rules UR - http://www.fi.muni.cz/kd L2 - http://www.fi.muni.cz/kd N2 - We propose an extension of current ILP systems to support spatio-temporal data mining in crisis management. A new framework is presented based on PostGIS and the multi-relational learner GRAPE. Data on floods in the Czech Republic will be used for testing. ER -
VEČEŘA, Martin a Lubomír POPELÍNSKÝ. Relational Data Mining in Crisis Management. In \textit{Late Breaking Papers, Inductive Logic Programming, 18th International Conference}. Praha: FEL ČVUT, 2008, s.~117-122. ISBN~978-80-86742-26-7.
|