Website Classification Through Exploratory Data Analysis Using Naive Bayes, Random Forest, and Support Vector Machine Classifier-Reference-Cited by-同舟云学术

Website Classification Through Exploratory Data Analysis Using Naive Bayes, Random Forest, and Support Vector Machine Classifier

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Intelligent Technologies (CONIT)
language:
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Author:

Gill Kanwarpartap Singh¹,Anand Vatsala¹,Gupta Rupesh¹

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205766.pdf?arnumber=10205766

Reference20 articles.

1. A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants

2. Comparison of machine learning techniques in phishing website classification;hodži?;In International Conference on Economic and Social Studies (ICESoS'16),2016

3. Website categorization: A formal approach and robustness analysis in the case of e-commerce detection

4. COVID 19: Identification of Masked Face using CNN Architecture

5. The Relationship between Interactive Functions and Website Ranking

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