文章基本信息

标题：Succinct Semi-structured Data Mining Based on FREQT
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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.