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Volumn 4093 LNAI, Issue , 2006, Pages 582-593

Activity mining: Challenges and prospects

Author keywords

Activity data; Activity mining; Impact targeted mining; Unbalanced data

Indexed keywords

DATA STRUCTURES; PATTERN RECOGNITION SYSTEMS; SECURITY OF DATA; SECURITY SYSTEMS; SEMANTICS; DECISION MAKING; SALES; TERRORISM;

EID: 33749378279     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11811305_65     Document Type: Conference Paper
Times cited : (7)

References (15)
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    • Guralnik, V.1    Srivastava, J.2
  • 5
    • 27544509425 scopus 로고    scopus 로고
    • Interactive workflow mining-requirements, concepts and implementation
    • Hammori M, Herbst J, Kleiner N. Interactive workflow mining-requirements, concepts and implementation, Data & Knowledge Engineering, 56 (2006) 41-63.
    • (2006) Data & Knowledge Engineering , vol.56 , pp. 41-63
    • Hammori, M.1    Herbst, J.2    Kleiner, N.3
  • 9
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    • Computational theory of learning causal relationships
    • Pazzani M. A Computational Theory of Learning Causal Relationships, Cognitive Science, 15:401-424 1991.
    • (1991) Cognitive Science , vol.15 , pp. 401-424
    • Pazzani, M.A.1
  • 11
    • 0030380606 scopus 로고    scopus 로고
    • What makes patterns interesting in knowledge discovery systems
    • Silberschatz A, Tuzhilin A. What makes patterns interesting in knowledge discovery systems, IEEE TKDE, 8(6):970-974, 1996.
    • (1996) IEEE TKDE , vol.8 , Issue.6 , pp. 970-974
    • Silberschatz, A.1    Tuzhilin, A.2
  • 14
    • 84941154872 scopus 로고    scopus 로고
    • Temporal event mining of linked medical claims data
    • Williams G, et al. Temporal Event Mining of Linked Medical Claims Data. PAKDD03.
    • PAKDD03
    • Williams, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.