Maintenance of fast updated frequent trees for record deletion based on prelarge concepts

Chun Wei Lin, Tzung Pei Hong, Wen Hsiang Lu, Chih Hung Wu

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

The frequent pattern tree (FP-tree) is an efficient data structure for association-rule mining without generation of candidate itemsets. It, however, needed to process all transactions in a batch way. In the past, we proposed the Fast Updated FP-tree (FUFP-tree) structure to efficientiy handle the newly inserted transactions in incremental mining. In this paper, we attempt to modify the FUFP-tree maintenance based on the concept of pre-large itemsets for efficiently handling deletion of records. Pre-large itemsets are defined by a lower support threshold and an upper support threshold. The proposed approach can thus achieve a good execution time for tree maintenance especially when each time a small number of records are deleted. Experimental results also show that the proposed Pre-FUFP deletion algorithm has a good performance for incrementally handling deleted records.

原文English
主出版物標題New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings
發行者Springer Verlag
頁面675-684
頁數10
ISBN(列印)9783540733225
DOIs
出版狀態Published - 2007
事件20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007 - Kyoto, Japan
持續時間: 2007 6月 262007 6月 29

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4570 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007
國家/地區Japan
城市Kyoto
期間07-06-2607-06-29

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 一般電腦科學

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