| VEČEŘA, Martin, Lubomír POPELÍNSKÝ a Jan BLAŤÁK. Mining First-Order Frequent Patterns in e-Commerce Data. In New Trends in Artificial Intelligence. Proceedings of EPIA 2008. Portugalsko: APPIA, IEEE, AAAI, ECCAI, ACM, 2007, s. 475-486. ISBN 978-989-95618-0-9. |
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@inproceedings{755361,
author = {Večeřa, Martin and Popelínský, Lubomír and Blaťák, Jan},
address = {Portugalsko},
booktitle = {New Trends in Artificial Intelligence. Proceedings of EPIA 2008},
keywords = {artificial intelligence; e-commerce; data mining; inductive logic programming},
language = {eng},
location = {Portugalsko},
isbn = {978-989-95618-0-9},
pages = {475-486},
publisher = {APPIA, IEEE, AAAI, ECCAI, ACM},
title = {Mining First-Order Frequent Patterns in e-Commerce Data},
year = {2007}
}
TY - JOUR
ID - 755361
AU - Večeřa, Martin - Popelínský, Lubomír - Blaťák, Jan
PY - 2007
TI - Mining First-Order Frequent Patterns in e-Commerce Data
PB - APPIA, IEEE, AAAI, ECCAI, ACM
CY - Portugalsko
SN - 9789899561809
KW - artificial intelligence
KW - e-commerce
KW - data mining
KW - inductive logic programming
N2 - This paper presents the first application of first-order frequent patterns for web usage and web content mining in e-commerce - e-commerce usage mining. Two closely cooperating tools for gathering and preprocessing e-commerce data are described. The preprocessed data that are multi-relational in a general case are then mined with RAP, a tool for mining first-order frequent patterns. This framework has been successfully used for mining in real e-commerce data.
ER -
VEČEŘA, Martin, Lubomír POPELÍNSKÝ a Jan BLAŤÁK. Mining First-Order Frequent Patterns in e-Commerce Data. In \textit{New Trends in Artificial Intelligence. Proceedings of EPIA 2008}. Portugalsko: APPIA, IEEE, AAAI, ECCAI, ACM, 2007, s.~475-486. ISBN~978-989-95618-0-9.
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