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Fourth IEEE International Conference on Data Mining (ICDM'04)
DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases
Brighton, United Kingdom
November 01-November 04
ISBN: 0-7695-2142-8
Alexandre Termier, INRIA (Futurs), France
Marie-Christine Rousset, INRIA (Futurs), France
Mich?le Sebag, INRIA (Futurs), France
In this paper we present a novel algorithm for discovering tree patterns in a tree database. This algorithm uses a relaxed tree inclusion definition, making the problem more complex (checking tree inclusion is NP-complete), but allowing to mine highly heterogeneous databases. To obtain good performances, our DRYADE algorithm discovers only closed frequent tree patterns.
Citation:
Alexandre Termier, Marie-Christine Rousset, Mich?le Sebag, "DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases," icdm, pp.543-546, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004
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