A graph-based approach for discovering various types of association rules

IEEE Transactions on Knowledge and Data Engineering

Volumn 13, Issue 5, 2001, Pages 839-845

  Yen, Show Jane ^b   Chen, Arbee L P ^a,c  

^a IEEE   (Taiwan)

^b FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^c NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Association pattern; Association rule; Data mining; Graph based approach; Knowledge discovery

Indexed keywords

ASSOCIATION PATTERN; GENERALIZED ASSOCIATION RULES; GRAPH-BASED APPROACH; KNOWLEDGE DISCOVERY; MULTIPLE-LEVEL ASSOCIATION RULES; PRIMITIVE ASSOCIATION RULES;

ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; GRAPH THEORY; KNOWLEDGE ACQUISITION; MANAGEMENT INFORMATION SYSTEMS;

DATA MINING;

EID: 0035439306     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/69.956106     Document Type: Article

References (11)

1. Borders: An efficient algorithm for association generation in dynamic databases
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6. Mining multiple-level association rules in large databases
7. Set-oriented mining for association rules in relational databases
8. Efficient algorithm for discovering association rules
9. An effective hash-based algorithm for mining association rules
10. Mining generalized association rules
11. An efficient approach to discovery knowledge from large databases