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MDAI
2010
Springer

Pattern Mining on Stars with FP-Growth

10 years 4 months ago
Pattern Mining on Stars with FP-Growth
Abstract. Most existing data mining (DM) approaches look for patterns in a single table. Multi-relational DM approaches, on the other hand, look for patterns that involve multiple tables. In recent years, the most common DM techniques have been extended to the multi-relational case, but there are few dedicated to star schemas. These schemas are composed of a central fact table, linking a set of dimension tables, and joining all the tables before mining may not be a feasible solution. This work proposes a method for frequent pattern mining in a star schema based on FP-Growth. It does not materialize the entire join between the tables. Instead, it constructs an FP-Tree for each dimension and then combines them to form a super FP-Tree, that will serve as input to FP-Growth.
Andreia Silva, Cláudia Antunes
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where MDAI
Authors Andreia Silva, Cláudia Antunes
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