Maintenance of the pre-large trees for record deletion

Chun Wei Lin, Tzung Pei Hong, Wen Hsiang Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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 addition to record insertion, record deletion is also commonly seen in real applications. In this chapter, we propose the structure of pre-large trees for efficiently handling deletion of records based on the concept of pre-large itemsets. Due to the properties of pre-large concepts, the proposed approach does not need to rescan the original database until a number of records have been deleted. The proposed approach can thus achieve a good execution time for tree construction especially when a small number of records are deleted each time. Experimental results also show that the proposed approach has a good performance for incrementally handling deleted records.

Original languageEnglish
Title of host publicationAdvances in Numerical Methods
EditorsNikos Mastorakis, John Sakellaris
Pages137-148
Number of pages12
DOIs
Publication statusPublished - 2009 Dec 1

Publication series

NameLecture Notes in Electrical Engineering
Volume11
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Lin, C. W., Hong, T. P., & Lu, W. H. (2009). Maintenance of the pre-large trees for record deletion. In N. Mastorakis, & J. Sakellaris (Eds.), Advances in Numerical Methods (pp. 137-148). (Lecture Notes in Electrical Engineering; Vol. 11). https://doi.org/10.1007/978-0-387-76483-2_12