Publication details
Mining Frequent Patterns in Object-Oriented Data
| Authors | |
|---|---|
| Year of publication | 2004 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 2nd Intl. Ws on Mining Graphs, Trees and Sequences, ECML/PKDD Pisa 2004 |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | frequent patterns; object-oriented data |
| Description | This paper tackles mining frequent patterns and classification in object-oriented data. An object-oriented model with its rich structures and database systems support is a good choice for storing complex structured data. A new OR-FP algorithm for mining frequent patterns in object-oriented data is introduced and its implementation described. The OR-FP system loads the data from the Oracle object-relational database system and requires only minimum mandatory settings. Propositionalization with OR-FP for two benchmark domains is described. A modification of OR-FP for processing XML data is discussed |
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