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
You Might Like
Recommended ContentMore
Open source project More
Popular Components
Searched by Users
Just Take a LookMore
Trending Downloads
Trending ArticlesMore