Web Page Classification
B. Choi, и Z. Yao.
Foundations and Advances in Data Mining, том 180 из Studies in Fuzziness and Soft Computing, Springer, Berlin / Heidelberg, (2005)

This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page classification: subject based and genre based classifications. It then describes the state of the art techniques and subsystems used to build automatic web page classification systems, including web page representations, dimensionality reductions, web page classifiers, and evaluation of web page classifiers. Such systems are essential tools for Web Mining and for the future of Semantic Web.

URL

http://dx.doi.org/10.1007/11362197_9

искать в

К этой публикации ещё не было создано рецензий.

распределение оценок

средняя оценка пользователей0,0 из 5.0 на основе 0 рецензий

Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)

@incollection{choi2005classification,
  abstract = {This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page classification: subject based and genre based classifications. It then describes the state of the art techniques and subsystems used to build automatic web page classification systems, including web page representations, dimensionality reductions, web page classifiers, and evaluation of web page classifiers. Such systems are essential tools for Web Mining and for the future of Semantic Web.},
  added-at = {2011-11-29T14:58:41.000+0100},
  address = {Berlin / Heidelberg},
  affiliation = {Louisiana Tech University Computer Science, College of Engineering and Science Ruston LA 71272 USA},
  author = {Choi, B. and Yao, Z.},
  biburl = {https://puma.uni-kassel.de/bibtex/28cae2b481187e15ec17f1aeac3c80a68/benz},
  booktitle = {Foundations and Advances in Data Mining},
  description = {SpringerLink - Abstract},
  doi = {10.1007/11362197_9},
  editor = {Chu, Wesley and Young Lin, Tsau},
  interhash = {ee6322086817459b37b7cb774be344cc},
  intrahash = {8cae2b481187e15ec17f1aeac3c80a68},
  isbn = {978-3-540-25057-9},
  keyword = {Engineering},
  keywords = {bachelor:2011:bachmann classification page web},
  pages = {221-274},
  publisher = {Springer},
  series = {Studies in Fuzziness and Soft Computing},
  timestamp = {2011-11-29T14:58:41.000+0100},
  title = {Web Page Classification},
  url = {http://dx.doi.org/10.1007/11362197_9},
  volume = 180,
  year = 2005
}

%0 Book Section
%1 choi2005classification
%A Choi, B.
%A Yao, Z.
%B Foundations and Advances in Data Mining
%C Berlin / Heidelberg
%D 2005
%E Chu, Wesley
%E Young Lin, Tsau
%I Springer
%K bachelor:2011:bachmann classification page web
%P 221-274
%R 10.1007/11362197_9
%T Web Page Classification
%U http://dx.doi.org/10.1007/11362197_9
%V 180
%X This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page classification: subject based and genre based classifications. It then describes the state of the art techniques and subsystems used to build automatic web page classification systems, including web page representations, dimensionality reductions, web page classifiers, and evaluation of web page classifiers. Such systems are essential tools for Web Mining and for the future of Semantic Web.
%@ 978-3-540-25057-9

PUMA

Web Page Classification
B. Choi, и Z. Yao.
Foundations and Advances in Data Mining, том 180 из Studies in Fuzziness and Soft Computing, Springer, Berlin / Heidelberg, (2005)

Tags

Пользователи данного ресурса

Комментарии и рецензии

Цитировать эту публикацию

PUMA

Web Page ClassificationB. Choi, и Z. Yao. Foundations and Advances in Data Mining, том 180 из Studies in Fuzziness and Soft Computing, Springer, Berlin / Heidelberg, (2005)

Tags

Пользователи данного ресурса

Комментарии и рецензии

Цитировать эту публикацию

Web Page Classification
B. Choi, и Z. Yao.
Foundations and Advances in Data Mining, том 180 из Studies in Fuzziness and Soft Computing, Springer, Berlin / Heidelberg, (2005)