ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Hypertext classification to filtrate information on the web
Full text PdfPdf (974 KB)
Source
Euro American Conference On Telematics And Information Systems archive
Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship table of contents
Prague, Czech Republic
Article No.: 1  
Year of Publication: 2009
ISBN:978-1-60558-398-3
Authors
Sandra del Pilar Bautista Morales  Universidad Distrital "Francisco José de Caldas"
Harry Alexander Barrera Fandiño  Universidad Distrital "Francisco José de Caldas"
Jorge Rodríguez Rodríguez  Universidad Distrital "Francisco José de Caldas"
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 104,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1551722.1551723
What is a DOI?

ABSTRACT

In this paper is built a state of the art to define the applicability of Web Mining techniques and different areas such as Information Retrieval and Hypertext Classification on web information filtering. Some existing works related to the classification of pages Web, as well as the application of Mining are defined Web of Structure in this area and the application of these techniques for the automatic information filtering.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
SmoothWall. Meeting the Challenges of Web Content Filtering. 2007. Disponible en http://dansguardian.org/downloads/content_filtering_challenges.pdf.
 
2
Hernandez J., Ramirez M., y Ferri C. 2004. Introducción a la Minería de Datos. Prentice Hall. España.
 
3
 
4
 
5
Prakash, A. y Kumar, K. Web Page Classification based on Document Structure. International Institute of Information Technology. Hyderabad: India. Disponible en http://www.iiit.net/students/stud_pdfs/kranthi1.pdf.
 
6
De Gyves, F. Web Mining: Fundamentos Básicos-Universidad de Salamanca. Disponible en. http://zarza.usal.es/~fgarcia/doctorado/iweb/05-07/Trabajos/WMINING.pdf.
 
7
Qi, X. y Davison, B. 2007. Web Page Classification: Features and Algorithms. Technical Report. Lehigh University. Disponible en http://www.cse.lehigh.edu/~brian/pubs/2007/classification-survey/LU-CSE-07-010.pdf.
 
8
 
9
 
10
Krieguel, H. y Schubert, M. 2004. Classification of Websites as Sets of Feature Vectors. In Proceeding of the IASTED International Conference. Databases and Applications, 127--132. Disponible en http://www.dbs.informatik.unimuenchen.de/Publikationen/Papers/dba2004-WSKNN.pdf.
 
11
Sean, S. Relational Learning: A Web-Page Classification Viewpoint. London. Disponible en http://kdl.cs.umass.edu/srl2003_upload/files/slattery.pdf.
12
 
13
 
14
Holden, N. 2004. Web Page Classification with an Ant Colony Algorithm. Parallel Problem Solving from Nature - PPSN VIII. United Kingdom, 1092--1102. Disponible en http://www.cs.kent.ac.uk/pubs/ug/2004/co620/antweb/report.pdf.
 
15
16
 
17
Riboni, D. Feature Selection for Web Page Classification. Diponible en http://homes.dico.unimi.it/~riboni/eurasia02.pdf.
 
18
Scotto, M., Sillitti, A., Succi, G. y Vernazza, T. 2004. Managing Web-Based information. International Conference on Enterprise Information Systems (ICEIS), 1--3.
 
19
 
20
 
21
 
22
Noll, M. y Meniel, C. 2005. Web Page Classification: An Exploratory Study of Internet Content Rating Systems. Proceedings of HACK conference. Luxemburgo. Disponible en http://www.michael-noll.com/blog/uploads/Michael-Noll_Usage-of-Internet-Content-Rating-Systems_2005-v1.1.pdf.
 
23
Cunningham, P. y Delany, S. 2007. k-Nearest Neighbour Classifiers. UCD School of Computers Science and Informatics. Technical Report. UCD-CSI-2007-4. Disponible en http://www.csi.ucd.ie/UserFiles/publications/UCD-CSI-2007-4.pdf.
 
24
Laaksonen, M. y Oja, E. 1996. Classification with Learning k-Nearest Neigbors. In the Proceedings of ICNN'96, 1480--1483. Disponible en http://www.cis.hut.fi/jorma/papers/icnn96.ps.
 
25
Langley, P., y Iba, W. y Thompson, K. 1992. An analysis of Bayesian classifiers. In Proceedings of AAAI-92, 223--228.
 
26
Cheng, J. y Greiner, R. 1999. Comparing Bayesian network classifiers. In Proceedings of UAI-99.
 
27
Blum, A. 1997. On-Line Algorithms in Machine Learning. Technical Report CMU-CS-97-163, Carnegie Mellon University. Disponible en http://www-cgi.cs.cmu.edu./afs/cs/misc/mosaic/all_mach/omega/Web/People/avrim/Papers/survey.ps.gz
28
 
29
Wang, J., Huang, Y., Wu, G. y Zhang, F. 1999. Web Mining: Knowledge Discovery on the Web. Proc. Int'l Conf. Systems, Man and Cybernetics (SMC '99), vol. 2, 137--141.

Collaborative Colleagues:
Sandra del Pilar Bautista Morales: colleagues
Harry Alexander Barrera Fandiño: colleagues
Jorge Rodríguez Rodríguez: colleagues