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Volumn , Issue , 2007, Pages 73-80

Rare itemset mining

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC COMPOUNDS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL GEOMETRY; COMPUTER CRIME; ERROR ANALYSIS; FINANCE; LEARNING SYSTEMS; MINES; ROBOT LEARNING;

EID: 47349103359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.87     Document Type: Conference Paper
Times cited : (69)

References (12)
  • 6
    • 84890521199 scopus 로고    scopus 로고
    • Pincer search: A new algorithm for discovering the maximum frequent set
    • Dao-I Lin and Zvi M. Kedem, Pincer search: A new algorithm for discovering the maximum frequent set, Lecture Notes in Computer Science 1377 (1998), 105-121.
    • (1998) Lecture Notes in Computer Science , vol.1377 , pp. 105-121
    • Lin, D.-I.1    Kedem, Z.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.