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Volumn , Issue , 2002, Pages 109-113

Implementing advanced cleaning and end-user interpretability technologies in web log mining

Author keywords

Data cleaning; Knowledge representation and visualization; Web log mining; Web mining

Indexed keywords

DATA VISUALIZATION; KNOWLEDGE REPRESENTATION;

EID: 3042593985     PISSN: 13301012     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITI.2002.1024660     Document Type: Conference Paper
Times cited : (18)

References (9)
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    • Web mining: Information and pattern discovery on the world wide web
    • Cooley, R., et al. Web Mining: Information and Pattern Discovery on the World Wide Web. In Tools with artificial intelligence. 1997.
    • (1997) Tools with Artificial Intelligence
    • Cooley, R.1
  • 4
    • 78549273020 scopus 로고    scopus 로고
    • Structural abstractions of hypertext documents for web-based retrieval
    • Vienna: IEEE Computer Society
    • Deogun, J.S., et al. Structural Abstractions of Hypertext Documents for Web-Based Retrieval. In Database and expert systems applications. 1998. Vienna: IEEE Computer Society.
    • (1998) Database and Expert Systems Applications
    • Deogun, J.S.1
  • 6
    • 0001258944 scopus 로고    scopus 로고
    • Wum: A tool for web utilization analysis
    • Spain
    • Faulstich, L.C., et al. WUM: A Tool for Web Utilization Analysis. In EDBT Workshop WebDB'98. 1998, Spain.
    • (1998) EDBT Workshop WebDB'98
    • Faulstich, L.C.1
  • 7
    • 0001968523 scopus 로고    scopus 로고
    • Kdd for science data analysis: Issues and examples
    • Fayyad, U., et al. KDD for Science Data Analysis: Issues and Examples. In Knowledge discovery & data mining. 1996.
    • (1996) Knowledge Discovery & Data Mining
    • Fayyad, U.1
  • 9
    • 3042758276 scopus 로고
    • Webviz: A tool for world-wide web access log analysis
    • Switzerland
    • Pitkow, J., et al. WEBVIZ: a tool for World-Wide Web access log analysis. In First International World Wide Web Conference. 1994, Switzerland.
    • (1994) First International World Wide Web Conference
    • Pitkow, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.