Succinct Semi-structured Data Mining Based on FREQT

• SATO Issei

  Tokyo University

• NAKAGAWA Hiroshi

  Tokyo University

抄録

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.

収録刊行物

• Information and Media Technologies

  Information and Media Technologies 5 (3), 1022-1027, 2010

  Information and Media Technologies 編集運営会議

詳細情報

• CRID: 1390001205264975360
• NII論文ID: 130000337146
• DOI: 10.11185/imt.5.1022
• ISSN: 18810896
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可