FP-Tree in different implement methods to compare the performances

Autor: Shu-Jun Chao, 趙書榮
Rok vydání: 2002
Druh dokumentu: 學位論文 ; thesis
Popis: 91
now the algorithm in the association rules can be seperated two kinds.first is Apriori-like approach.second is Frequent-Pattern tree.main different between the above is the Frequent-Pattern tree did not to generate the candidate itemsets.its avoid a huge cost to scan database many times. this paper apply three different data structure(FP-tree_tail,FP-tree_hash,FP-tree_hash+tail) to improve Frequent-Pattern tree algorithm .then to compare the performance about them, accroding to the test data we found the performance of the FP-tree alogrithm are worst then the other algorithms many times.
Databáze: Networked Digital Library of Theses & Dissertations