Have a personal or library account? Click to login
An Automated Framework with Application to Study Url Based Online Advertisements Detection Cover

An Automated Framework with Application to Study Url Based Online Advertisements Detection

Open Access
|Aug 2013

References

  1. Aha, D. W., Kibler, D., and Albert, M. K. 1991. Instance-based learning algorithms. Machine Learning 6, 1 (Jan.), 37-66.
  2. Baykan, E., Henzinger, M., Marian, L., and Weber, I. 2011. A comprehensive study of features and algorithms for url-based topic classification. ACM Transactions on Web 5, 3 (July), 15:1-15:29.
  3. Berry, M. W. and Kogan, J., Eds. 2010. Text Mining: Applications and Theory. Wiley, Chichester, UK.10.1002/9780470689646
  4. Breiman, L. 2001. Random forests. Machine Learning 45, 1 (Oct.), 5-32.
  5. Chang, C.-C. and Lin, C.-J. 2001. Libsvm - a library for support vector machines. The Weka classifier works with version 2.82 of LIBSVM.
  6. Devi, M. I., Rajaram, R., and Selvakuberan, K. 2007. Machine learning techniques for automated web page classification using url features. In ICCIMA ’07: Proceedings of theInternational Conference on Computational Intelligence and Multimedia Applications. Vol. 2. IEEE Computer Society, Washington, DC, USA, 116-120.
  7. Esfandiari, B. and Nock, R. 2005. Adaptive filtering of advertisements on web pages. In WWW ’05: Special interest tracks and posters of the 14th international conference on WorldWide Web. ACM, New York, NY, USA, 916-917.
  8. Fayyad, U. and Irani, K. 1993. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. IJCAI ’93: Proceedings of the 13th International Joint Conferenceon Artificial Intelligence, 1022-1027.
  9. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. The Journal of Machine Learning Research 3, 1289-1305.
  10. Freund, Y. and Schapire, R. E. 1995. A decision-theoretic generalization of on-line learning and an application to boosting. In EuroCOLT ’95: Proceedings of the 2nd European Conferenceon Computational Learning Theory. Springer-Verlag, London, UK, 23-37.
  11. Freund, Y. and Schapire, R. E. 1996. Experiments with a New Boosting Algorithm. In ICML’96: Proceedings of the 13th International Conference on Machine Learning. 148-156.
  12. George, J. and Pat, L. 1995. Estimating continuous distributions in bayesian classifiers. In In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, 338-345.
  13. Kan, M. Y. 2004. Web page classification without the web page. In WWW Alt. ’04: Proceedingsof the 13th international World Wide Web conference on Alternate track papers & posters. ACM, New York, NY, USA, 262-263.
  14. Kan, M.-Y. and Thi, H. O. N. 2005. Fast webpage classification using url features. In CIKM’05: Proceedings of the 14th ACM international conference on Information and knowledgemanagement. ACM, New York, NY, USA, 325-326.
  15. Krammer, V. 2008. An effective defense against intrusive web advertising. In PST ’08: Proceedingsof the 2008 Sixth Annual Conference on Privacy, Security and Trust. IEEE Computer Society, Washington, DC, USA, 3-14.
  16. Moran, S., He, Y., and Liu, K. 2009. Choosing the best bayesian classifier: an empirical study. IAENG International Journal of Computer Science 36, 4, 322-331.
  17. Quinlan, J. R. 1992. C4.5: Programs for Machine Learning (Morgan Kaufmann Series inMachine Learning), 1 ed. Morgan Kaufmann.
  18. Shih, L. K. and Karger, D. R. 2004. Using urls and table layout for web classification tasks. In WWW ’04: Proceedings of the 13th international conference on World Wide Web. ACM, New York, NY, USA, 193-202.
  19. Singh, A. K. and Potdar, V. 2009. Blocking online advertising - a state of the art. In ICIT’09: Proceedings of the 2009 IEEE International Conference on Industrial Technology. IEEE Computer Society, Washington, DC, USA, 1-10.
DOI: https://doi.org/10.2478/jamsi-2013-0005 | Journal eISSN: 1339-0015 | Journal ISSN: 1336-9180
Language: English
Page range: 47 - 60
Published on: Aug 24, 2013
Published by: University of Ss. Cyril and Methodius in Trnava
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2013 Piotr L. Szczepański, Adrian Wiśniewski, Tomasz Gerszberg, published by University of Ss. Cyril and Methodius in Trnava
This work is licensed under the Creative Commons License.

Volume 9 (2013): Issue 1 (May 2013)