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Volumn 12, Issue , 2011, Pages 2021-2025

The arules R-package ecosystem: Analyzing interesting patterns from large transaction data sets

Author keywords

Association rules; Frequent itemsets; Frequent sequences; Visualization

Indexed keywords

ASSOCIATION RULES; FLOW VISUALIZATION;

EID: 79960114598     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (126)

References (16)
  • 5
    • 33748467598 scopus 로고    scopus 로고
    • A model-based frequency constraint for mining associations from transaction data
    • DOI 10.1007/s10618-005-0026-2
    • Michael Hahsler. A model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137-166, September 2006. (Pubitemid 44352880)
    • (2006) Data Mining and Knowledge Discovery , vol.13 , Issue.2 , pp. 137-166
    • Hahsler, M.1
  • 8
    • 41549140071 scopus 로고    scopus 로고
    • New probabilistic interest measures for association rules
    • Michael Hahsler and K. Hornik. New probabilistic interest measures for association rules. Intelligent Data Analysis, 11(5):437-455, 2007a.
    • (2007) Intelligent Data Analysis , vol.11 , Issue.5 , pp. 437-455
    • Hahsler, M.1    Hornik, K.2
  • 9
    • 84879593107 scopus 로고    scopus 로고
    • Building on the arules infrastructure for analyzing transaction data with R
    • R. Decker and H.-J. Lenz, editors, March 8-10 2006, Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag
    • Michael Hahsler and K. Hornik. Building on the arules infrastructure for analyzing transaction data with R. In R. Decker and H.-J. Lenz, editors, Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006, Studies in Classification, Data Analysis, and Knowledge Organization, pages 449-456. Springer-Verlag, 2007b.
    • (2007) Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation E.V., Freie Universität Berlin , pp. 449-456
    • Hahsler, M.1    Hornik, K.2
  • 10
    • 27544480125 scopus 로고    scopus 로고
    • Arules - A computational environment for mining association rules and frequent item sets
    • October
    • Michael Hahsler, Bettina Grün, and K. Hornik. arules - A computational environment for mining association rules and frequent item sets. Journal of Statistical Software, 14(15):1-25, October 2005.
    • (2005) Journal of Statistical Software , vol.14 , Issue.15 , pp. 1-25
    • Hahsler, M.1    Grün, B.2    Hornik, K.3
  • 11
    • 41849127968 scopus 로고    scopus 로고
    • Selective association rule generation
    • April
    • Michael Hahsler, Christian Buchta, and K. Hornik. Selective association rule generation. Computational Statistics, 23(2):303-315, April 2008.
    • (2008) Computational Statistics , vol.23 , Issue.2 , pp. 303-315
    • Hahsler, M.1    Buchta, C.2    Hornik, K.3
  • 16
    • 0034826102 scopus 로고    scopus 로고
    • SPADE: An efficient algorithm for mining frequent sequences
    • DOI 10.1023/A:1007652502315
    • Mohammed J. Zaki. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning, 42:31-60, January-February 2001. (Pubitemid 32872398)
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 31-60
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.