Mining Frequent Patterns in Object-Oriented Data

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Authors	KUBA Petr POPELÍNSKÝ Lubomír
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	Faculty of Informatics
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
Related projects:	Human-computer interaction, dialog systems and assistive technologies