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
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