VEČEŘA, Martin, Lubomír POPELÍNSKÝ and 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, p. 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 and 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, p.~475-486. ISBN~978-989-95618-0-9.
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