首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:Succinct Semi-structured Data Mining Based on FREQT
  • 本地全文:下载
  • 作者:Issei SATO ; Hiroshi NAKAGAWA
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2010
  • 卷号:5
  • 期号:3
  • 页码:1022-1027
  • DOI:10.11185/imt.5.1022
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:We have proposed a semi-structured data mining method when there is a huge number of data items and a large amount of semi-structured data, in particular, a labeled ordered tree. Our approach is to compress data structure into a bit vector and then mine the compressed data structure using fast low-level bit operations. The experimental results showed that our approach is more effective than conventional methods when there is a large amount of semi-structured data.
国家哲学社会科学文献中心版权所有