Mining up-to-date knowledge based on tree structures

Chun Wei Lin, Tzung Pei Hong, Wen-Hsiang Lu

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

Abstract

In the past, the up-to-date patterns is proposed to mine the frequent itemsets within its corresponding lifetime. This hybrid method is based on the Apriori-like approach, which requests high computational cost and memory requirement. In this paper, the up-to-date pattern tree (UDP tree) is proposed to keep the up-to-date patterns in a tree structure. The experimental results show that the proposed approach has a better performance than the level-wise up-to-date algorithm.

Original languageEnglish
Title of host publicationSoCPaR 2009 - Soft Computing and Pattern Recognition
Pages123-127
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
EventInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia
Duration: 2009 Dec 42009 Dec 7

Publication series

NameSoCPaR 2009 - Soft Computing and Pattern Recognition

Other

OtherInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
CountryMalaysia
CityMalacca
Period09-12-0409-12-07

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All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Lin, C. W., Hong, T. P., & Lu, W-H. (2009). Mining up-to-date knowledge based on tree structures. In SoCPaR 2009 - Soft Computing and Pattern Recognition (pp. 123-127). [5368617] (SoCPaR 2009 - Soft Computing and Pattern Recognition). https://doi.org/10.1109/SoCPaR.2009.36