메뉴 건너뛰기




Volumn 22, Issue 4, 2005, Pages 193-205

Detecting the change of customer behavior based on decision tree analysis

Author keywords

Change analysis; Data mining; Decision tree; Internet shopping mall

Indexed keywords

DATA MINING; ELECTRONIC COMMERCE; INTERNET; NUMERICAL METHODS; PROBLEM SOLVING; TREES (MATHEMATICS);

EID: 33745187176     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2005.00310.x     Document Type: Article
Times cited : (47)

References (24)
  • 12
    • 0002896413 scopus 로고
    • Tracking drifting concepts by minimizing disagreements
    • HELMBOLD, D.P. and P.M. LONG (1994) Tracking drifting concepts by minimizing disagreements, Machine Learning, 14, 27-45.
    • (1994) Machine Learning , vol.14 , pp. 27-45
    • Helmbold, D.P.1    Long, P.M.2
  • 19
    • 0033345672 scopus 로고    scopus 로고
    • Unexpectedness as a measure of interestingness in knowledge discovery
    • PADMANABHAN, B. and A. TUZHILIN (1999) Unexpectedness as a measure of interestingness in knowledge discovery, Decision Support Systems, 27, 303-318.
    • (1999) Decision Support Systems , vol.27 , pp. 303-318
    • Padmanabhan, B.1    Tuzhilin, A.2
  • 21
    • 0035476841 scopus 로고    scopus 로고
    • Mining the change of customer behavior in an Internet shopping mall
    • SONG, H.S., J.K. KIM and S.H. KIM (2001) Mining the change of customer behavior in an Internet shopping mall, Expert Systems with Applications, 21 (3), 157-168.
    • (2001) Expert Systems with Applications , vol.21 , Issue.3 , pp. 157-168
    • Song, H.S.1    Kim, J.K.2    Kim, S.H.3
  • 24
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • WIDMER, G. (1996) Learning in the presence of concept drift and hidden contexts, Machine Learning, 23, 69-101.
    • (1996) Machine Learning , vol.23 , pp. 69-101
    • Widmer, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.