Art

J-GLOBAL ID：200902261078731907   Reference number：04A0909146

Efficient Substructure Discovery from Large Semi-Structured Data

大規模な半構造化データからの効率的な下位構造の発見

Author (6)： ASAI T (Kyushu Univ., Fukuoka-shi, JPN) ,  ABE K (Kyushu Univ., Fukuoka-shi, JPN) ,  KAWASOE S (Kyushu Univ., Fukuoka-shi, JPN) ,  SAKAMOTO H (Kyushu Univ., Fukuoka-shi, JPN) ,  ARIMURA H (Kyushu Univ., Fukuoka-shi, JPN) ,  ARIKAWA S (Kyushu Univ., Fukuoka-shi, JPN)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E87-D  Issue： 12  Page： 2754-2763  Publication year： Dec. 01, 2004 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： data structure ,...
Semi thesaurus term： *WWW ,...

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JST classification (1)： Database systems  (JD03030U)

Reference (28)：

• ABE, K. Optimized substructure discovery for semi-structured data. Proc. PKDD'02. 2002
• ABITEBOUL, S. Data on the Web. 2000
• ABITEBOUL, S. The lorel query language for semistructured data. Int. J. Digital Libraries. 1997, 1, 1, 68-88
• AGRAWAL, R. Fast algorithms for mining association rules. Proc. 20th VLDB, 1994. 1994, 487-499
• AGRAWAL, R. Fast discovery of association rules. Advances in Knowledge Discovery and Data Mining. 1996, Chapter 12

Terms in the title (3)： 大規模 ,  構造化データ ,  発見