Publication details
Mining First-Order Frequent Patterns in e-Commerce Data
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Proceedings |
| Conference | New Trends in Artificial Intelligence. Proceedings of EPIA 2008 |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | artificial intelligence; e-commerce; data mining; inductive logic programming |
| Description | 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. |