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Discovering semantic proximity for web pages

  • Matthew Merzbacher
Communications 3A Learning and Knowledge Discovery
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1609)

Abstract

Dynamic Nearness is a data mining algorithm that detects semantic relationships between objects in a database, based on access patterns. This approach can be applied to web pages to allow automatic dynamic reconfiguration of a web site. Worst-case storage requirements for the algorithm are quadratic (in the number of web pages), but practical reductions, such as ignoring a few long transactions that provide little information, drop storage requirements to linear. Thus, dynamic nearness scales to large systems. The methodology is validated via experiments run on a moderately-sized existing web site.

Keywords

learnign and knowledge discovery intelligent information systems semantic distance metrics data mining world wide web 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Matthew Merzbacher
    • 1
  1. 1.Mills CollegeOaklandUSA

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