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Volumn 2005, Issue , 2005, Pages 755-761

Binary prediction based on weighted sequential mining method

Author keywords

Association rules; Binary time series data; CRM; Pattern; Sequential Mining

Indexed keywords

ALGORITHMS; BINARY SEQUENCES; CUSTOMER SATISFACTION; DATA PROCESSING; PATTERN MATCHING; REMOTE CONTROL; WEBSITES;

EID: 33748851896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2005.42     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 1
    • 0036778697 scopus 로고    scopus 로고
    • Predicting customer behavior in the market: A study of rayport and svioklas framework
    • October
    • H. Lu, "Predicting Customer Behavior in the Market: A Study of Rayport and Svioklas Framework," Information and Management, vol. 40, no. 1, pp. 1-10, October 2002.
    • (2002) Information and Management , vol.40 , Issue.1 , pp. 1-10
    • Lu, H.1
  • 7
    • 0036643492 scopus 로고    scopus 로고
    • Mining hybrid sequential patterns and sequential rules
    • Y. Chen, S. Chen, and P. Hsu, "Mining Hybrid Sequential Patterns and Sequential Rules," Information Systems, vol. 27, pp. 345-362, 2002.
    • (2002) Information Systems , vol.27 , pp. 345-362
    • Chen, Y.1    Chen, S.2    Hsu, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.