Clustering web transactions using rough approximation

DOI10.1016/j.fss.2004.03.010zbMath1071.68552OpenAlexW2050720134MaRDI QIDQ703315

Supriya Kumar De, P. Radha Krishna

Publication date: 11 January 2005

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.03.010

zbMATH Keywords

Rough setsSimilarity upper approximationWeb access patternWeb usage mining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Network design and communication in computer systems (68M10) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Mining association rules from imprecise ordinal data ⋮ Tolerance Rough Set Theory Based Data Summarization for Clustering Large Datasets

Cites Work

• Unnamed Item
• Rough set approach to incomplete information systems
• Towards adaptive Web sites: Conceptual framework and case study
• Rough sets
• Mining association rules from quantitative data

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