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Volumn , Issue , 2000, Pages

MINING EVENT DATA FOR ACTIONABLE PATTERNS

Author keywords

[No Author keywords available]

Indexed keywords

PRINTING PRESSES;

EID: 3142546405     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (11)
  • 1
    • 0027621699 scopus 로고
    • Mining Association Rules Between Sets of Items in Large Databases
    • [AgImSw93]
    • [AgImSw93] R. Agrawal, T. Imielinski, and A. Swami. Mining Association Rules Between Sets of Items in Large Databases. Proc of Very Large Data Bases, pp. 207-216, 1993.
    • (1993) Proc of Very Large Data Bases , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 4
    • 0001837970 scopus 로고
    • Predicting Equity Returns from Securities Data with Minimal Rule Generation
    • [ApHo94]
    • [ApHo94] C. Apte and S.J. Hong. Predicting Equity Returns from Securities Data with Minimal Rule Generation. Knowledge Discovery and Data Mining, 1994.
    • (1994) Knowledge Discovery and Data Mining
    • Apte, C.1    Hong, S.J.2
  • 7
    • 0032627945 scopus 로고    scopus 로고
    • Efficient mining of partially periodic patterns in time series database
    • [HaDoYi99]
    • [HaDoYi99] J. Han, G. Dong, and Y. Yin. Efficient mining of partially periodic patterns in time series database. International Conference on Data Engineering, 1999.
    • (1999) International Conference on Data Engineering
    • Han, J.1    Dong, G.2    Yin, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.