A Naive Bayes approach for URL classification with supervised feature selection and rejection framework-Reference-Cited by-同舟云学术

A Naive Bayes approach for URL classification with supervised feature selection and rejection framework

Published:2018-01-15 Issue:1 Volume:34 Page:363-396
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Rajalakshmi R.¹^ORCID,Aravindan Chandrabose²^ORCID

Affiliation:

1. School of Computing Science and Engineering; Vellore Institute of Technology; Chennai India

2. Department of Computer Science and Engineering; Sri Sivasubramaniya Nadar (SSN) College of Engineering; Chennai India

Funder

Department of Science and Technology, Science and Engineering Research Board

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/coin.12158/fullpdf

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4. Shen D Sun J-T Li H Yang Q Chen Z Document summarization using conditional random fields 2007 San Francisco, CA

5. Webpage classification based on compound of using HTML features and URL features and features of sibling pages;Sara-Meshkizadeh;Int J Adv Comp Techn,2010

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