White Papers
Mining Frequent Patterns in Object-Oriented Data
Category: Data Management, Software and Web Development
Tags: benchmark, object-oriented, database, data
Overview 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.
- Publisher
- Masaryk University
- File Format
- Date Published
- Oct 1, 2008
- Format
- White Papers
- Topics
- Object-Oriented, XML, Data Mining - Analysis
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