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首页|期刊导航|电子科技学刊|Learning Association Rules and Tracking the Changing Concepts on Webpages:An Effective Pornographic Websites Filtering Approach

Learning Association Rules and Tracking the Changing Concepts on Webpages:An Effective Pornographic Websites Filtering Approach

Jyh-Jian Sheu

电子科技学刊2018，Vol.16Issue(1)：24-36,13.
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电子科技学刊2018，Vol.16Issue(1)：24-36,13.DOI:10.11989/JEST.1674-862X.71018182

Learning Association Rules and Tracking the Changing Concepts on Webpages:An Effective Pornographic Websites Filtering Approach

Learning Association Rules and Tracking the Changing Concepts on Webpages:An Effective Pornographic Websites Filtering Approach

Jyh-Jian Sheu1

作者信息

  • 1. the College of Communication, National Chengchi University, Taipei 11605
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摘要

关键词

Concept drift/data mining/decision tree/pornographic websites filtering

Key words

Concept drift/data mining/decision tree/pornographic websites filtering

引用本文复制引用

Jyh-Jian Sheu..Learning Association Rules and Tracking the Changing Concepts on Webpages:An Effective Pornographic Websites Filtering Approach[J].电子科技学刊,2018,16(1):24-36,13.

基金项目

This work was supported by MOST under Grant No.MOST 103-2410-H-004-112. （）

电子科技学刊

OACSCD

1674-862X

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