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Volumn 22, Issue 1, 2004, Pages 41-70

Dataless Transitions between Concise Representations of Frequent Patterns

Author keywords

Closed itemsets; Concise representation; Data mining; Frequent itemsets; Knowledge discovery

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; SET THEORY;

EID: 0347132396     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1025828729955     Document Type: Conference Paper
Times cited : (19)

References (20)
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  • 5
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    • Harms, S.K., Deogun, J., Saquer, J., and Tadesse, T. (2001). Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints. In Proc. of ICDM '01 (pp. 603-606). San Jose, CA, USA: IEEE Computer Society.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.