A two-phase fuzzy mining approach

Chun Wei Lin, Tzung Pei Hong, Wen Hsiang Lu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a two-phase fuzzy mining approach based on a tree structure to discover fuzzy frequent itemsets from a quantitative database. A simple tree structure called the upper-bound fuzzy frequent-pattern tree (abbreviated as UBFFP tree) is designed to help achieve the purpose. The two-phase fuzzy mining approach can easily derive the upper-bound fuzzy supports of itemsets through the tree and prune unpromising itemsets in the first phase, and then finds the actual frequent fuzzy itemsets in the second phase. Experimental results also show the good performance of the proposed approach.

原文English
主出版物標題2010 IEEE World Congress on Computational Intelligence, WCCI 2010
DOIs
出版狀態Published - 2010 11月 25
事件2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - Barcelona, Spain
持續時間: 2010 7月 182010 7月 23

出版系列

名字2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
國家/地區Spain
城市Barcelona
期間10-07-1810-07-23

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 計算機理論與數學

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