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Volumn , Issue , 2009, Pages 43-52
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An improved frequent pattern-growth approach to discover rare association rules
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Author keywords
Data mining; Frequent patterns; Rare association rules; Rare knowledge patterns
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Indexed keywords
APRIORI;
CANDIDATE PATTERNS;
DATA SETS;
FREQUENT PATTERNS;
MINIMUM SUPPORT;
MULTIPLE MINIMUM SUPPORTS;
NODE PRUNING;
PERFORMANCE PROBLEMS;
RARE ASSOCIATION RULES;
REAL-WORLD DATASETS;
ASSOCIATION RULES;
DATA MINING;
INFORMATION RETRIEVAL;
ASSOCIATIVE PROCESSING;
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EID: 77955403557
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (16)
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References (12)
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