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Unordered Embedded Frequent Subtree Mining Algorithm

  • 2013-09-19
  • 397.2KB
  • Points it Requires : 2

The research objects of frequent pattern mining include transactions, sequences, trees and graphs. This paper proposes to use the pattern growth method to mine embedded frequent subtrees in the forest of unordered trees. The normalization method is used to realize the unique form of unordered trees. According to the topological structure of the pattern to be grown, its growth point is determined and the corresponding projection library is constructed. The problem of mining frequent subtree patterns is transformed into the problem of finding frequent nodes in each projection library. Keywords: frequent pattern; frequent subtree; unordered tree; embedded subtree

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