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Volumn , Issue , 2001, Pages 305-310

Mining a stream of transactions for customer patterns

Author keywords

Approximate queries; Customer profiles; Dynamic database; Histograms; Incremental updates; Massive data; Signatures

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; PROBABILITY; STATISTICAL METHODS;

EID: 0035789679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502556     Document Type: Conference Paper
Times cited : (15)

References (6)
  • 3
    • 0034592760 scopus 로고    scopus 로고
    • Incremental quantile estimation for massive tracking
    • F. Chen, D. Lambert, and J. C. Pinheiro. Incremental quantile estimation for massive tracking. In Proceedings of KDD-2000, pages 516-522, 2000.
    • (2000) Proceedings of KDD-2000 , pp. 516-522
    • Chen, F.1    Lambert, D.2    Pinheiro, J.C.3
  • 5
    • 85008362102 scopus 로고
    • Modelling of chaos by a self-organizing neural network
    • K. Makisara, O. Simula, and J. Kangas, editors, Elsevier Science Publishers
    • I. Grabec. Modelling of chaos by a self-organizing neural network. In K. Makisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, Proceedings of ICANN, volume 1, pages 151-156. Elsevier Science Publishers, 1991.
    • (1991) Artificial Neural Networks, Proceedings of ICANN , vol.1 , pp. 151-156
    • Grabec, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.