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a Data trees, b mined tree patterns.
PathJoin assumes that no two siblings in data trees have the same label.
Figure 1a shows four data trees corresponding to different schemas to be integrated through the mining of large tree patterns.
However, mining a single large data tree is more complex than mining a set of small data trees.
To the best of our knowledge, there is no previous algorithm computing homomorphic patterns from data trees.
Open image in new window Fig. 1 Different types of mined tree patterns occurring in three of the four data trees.
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There were other cherries on this data tree that seem to have been overlooked.
Mining homomorphic tree patterns The morphism determines how a pattern is mapped to the data tree.
A pattern which is more specific provides more information on the data tree.
The problem of mining homomorphic patterns from a large data tree has been neglected.
These patterns are not useful as they do not provide additional information on the data tree.
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