A genetic K-means approaches for automated Web page classification

Dehu Qi, Bo Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This paper presents a new genetic K-means approach. Instead of evolving the centroid population, this new approach evolves the weights associated with the keywords, which character each class. The approach is implemented as a hierarchical automated web page classifier for automated web page classification. Initial experimental results are very promising and easy to expand to further classification.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
EditorsA.M. Memon, N. Zhao
Pages241-246
Number of pages6
StatePublished - Dec 1 2004
Externally publishedYes
EventProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 - Las Vegas, NV, United States
Duration: Nov 8 2004Nov 10 2004

Other

OtherProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
CountryUnited States
CityLas Vegas, NV
Period11/8/0411/10/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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