A Rough Set-Aided System for Sorting WWW Bookmarks
R. Jensen, und Q. Shen.
WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development, Seite 95--105. London, UK, Springer-Verlag, (2001)

Most people store 'bookmarks' to web pages. These allow the user to return to a web page later on, without having to remem- ber the exact URL address. People attempt to organise their bookmark databases by filing bookmarks under categories, themselves arranged in a hierarchical fashion. As the maintenance of such large repositories is diffcult and time-consuming, a tool that automatically categorises book- marks is required. This paper investigates how rough set theory can help extract information out of this domain, for use in an experimental auto- matic bookmark classification system. In particular, work on rough set dependency degrees is applied to reduce the otherwise high dimensional- ity of the feature patterns used to characterize bookmarks. A compari- son is made between this approach to data reduction and a conventional entropy-based approach.

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@inproceedings{jensen2001rough,
  abstract = {Most people store 'bookmarks' to web pages. These allow the user to return to a web page later on, without having to remem- ber the exact URL address. People attempt to organise their bookmark databases by filing bookmarks under categories, themselves arranged in a hierarchical fashion. As the maintenance of such large repositories is diffcult and time-consuming, a tool that automatically categorises book- marks is required. This paper investigates how rough set theory can help extract information out of this domain, for use in an experimental auto- matic bookmark classification system. In particular, work on rough set dependency degrees is applied to reduce the otherwise high dimensional- ity of the feature patterns used to characterize bookmarks. A compari- son is made between this approach to data reduction and a conventional entropy-based approach.},
  added-at = {2011-02-04T16:09:51.000+0100},
  address = {London, UK},
  author = {Jensen, Richard and Shen, Qiang},
  biburl = {https://puma.uni-kassel.de/bibtex/20648bf26cc33bdd7fd218b00db0e2511/benz},
  booktitle = {WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development},
  file = {jensen2001rough.pdf:jensen2001rough.pdf:PDF},
  interhash = {1543f43c9580c9537d3891f4e38073b8},
  intrahash = {0648bf26cc33bdd7fd218b00db0e2511},
  keywords = {studienarbeit closely_related},
  lastdatemodified = {2005-08-06},
  lastname = {Jensen},
  own = {own},
  pages = {95--105},
  pdf = {jensen01.pdf},
  publisher = {Springer-Verlag},
  read = {read},
  timestamp = {2011-02-04T16:09:51.000+0100},
  title = {A Rough Set-Aided System for Sorting WWW Bookmarks},
  url = {jensen01.ps},
  year = 2001
}

%0 Conference Paper
%1 jensen2001rough
%A Jensen, Richard
%A Shen, Qiang
%B WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
%C London, UK
%D 2001
%I Springer-Verlag
%K studienarbeit closely_related
%P 95--105
%T A Rough Set-Aided System for Sorting WWW Bookmarks
%U jensen01.ps
%X Most people store 'bookmarks' to web pages. These allow the user to return to a web page later on, without having to remem- ber the exact URL address. People attempt to organise their bookmark databases by filing bookmarks under categories, themselves arranged in a hierarchical fashion. As the maintenance of such large repositories is diffcult and time-consuming, a tool that automatically categorises book- marks is required. This paper investigates how rough set theory can help extract information out of this domain, for use in an experimental auto- matic bookmark classification system. In particular, work on rough set dependency degrees is applied to reduce the otherwise high dimensional- ity of the feature patterns used to characterize bookmarks. A compari- son is made between this approach to data reduction and a conventional entropy-based approach.

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A Rough Set-Aided System for Sorting WWW Bookmarks
R. Jensen, und Q. Shen.
WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development, Seite 95--105. London, UK, Springer-Verlag, (2001)

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A Rough Set-Aided System for Sorting WWW BookmarksR. Jensen, und Q. Shen. WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development, Seite 95--105. London, UK, Springer-Verlag, (2001)

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A Rough Set-Aided System for Sorting WWW Bookmarks
R. Jensen, und Q. Shen.
WI '01: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development, Seite 95--105. London, UK, Springer-Verlag, (2001)