• Title of article

    Web log data warehousing and mining for intelligent web caching

  • Author/Authors

    Bonchi، F. نويسنده , , Giannotti، F. نويسنده , , Gozzi، C. نويسنده , , Manco، G. نويسنده , , Nanni، M. نويسنده , , Pedreschi، D. نويسنده , , Renso، C. نويسنده , , Ruggieri، S. نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2001
  • Pages
    -164
  • From page
    165
  • To page
    0
  • Abstract
    Taxonomies are an important part of conceptual modeling. They provide substantial structural information, and are typically the key elements in integration efforts, however there has been little guidance as to what makes a proper taxonomy. We have adopted several notions from the philosophical practice of formal ontology, and adapted them for use in information systems. These tools, identity, essence, unity, and dependence, provide a solid logical framework within which the properties that form a taxonomy can be analyzed. This analysis helps make intended meaning more explicit, improving human understanding and reducing the cost of integration.
  • Keywords
    Web caching , Data mining , Log data warehousing , Frequent patterns , Association rules , Decision trees
  • Journal title
    DATA & KNOWLEDGE ENGINEERING
  • Serial Year
    2001
  • Journal title
    DATA & KNOWLEDGE ENGINEERING
  • Record number

    6073