SQL based association rule mining using commercial RDBMS (IBM DB2 UDB EEE)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1874, Issue , 2000, Pages 301-306

  Yoshizawa, Takeshi ^a,b   Pramudiono, Iko ^a,b   Kitsuregawa, Masaru ^a,b  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b IBM JAPAN LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; QUERY LANGUAGES; QUERY PROCESSING; RELATIONAL DATABASE SYSTEMS; WAREHOUSES;

DATA-MINING TOOLS; DB2 UDB; HIDDEN RULES; INTELLIGENT MINER; PARALLEL DATABASE; QUERY OPTIMIZATION; RELATIONAL DATABASE; SQL QUERY;

DATA MINING;

EID: 84947593940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44466-1_30     Document Type: Conference Paper

References (9)

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9. T. Shinlani, M. Kitsuregawa. Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy. In Proc. of the ACM SIGMOD Conference on Management of Data, 1998.