Using Naive Bayes to coordinate the classification of web pages

Ruan Jian Xue Bao/Journal of Software

Volumn 12, Issue 9, 2001, Pages 1386-1392

  Fan, Yan ^a   Zheng, Cheng ^a   Wang, Qing Yi ^a   Cai, Qing Sheng ^a   Liu, Jie ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Classification; Data mining; Hypertext; Information retrieval; Internet; Machine learning; Web; WWW

Indexed keywords

CALCULATIONS; CLASSIFICATION (OF INFORMATION); DATA MINING; HYPERTEXT SYSTEMS; INFORMATION RETRIEVAL; INTERNET; LEARNING SYSTEMS;

HYPERTEXT STRUCTURE; MACHINE LEARNING; NAIVE BAYES METHOD; TEXT DOCUMENTS; WEB PAGES;

WEBSITES;

EID: 0035467066     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Learning to extract symbolic knowledge from the World Wide Web
2. Classification of world wide web documents
3. Learning and revising user profiles: The identification of interesting Web sites
4. Using taxonomy, discriminants, and signatures for navigating in text databases
5. A comparison of event models for Naive Bayes text classification
6. Automated learning of decision rules for text categorization
7. News weeder: Learning to filter net-news
8. BAYDA: Software for Bayesian classification and feature selection
9. Hierarchically classifying documents using very few words
10. Feature selection for unbalanced class distribution and Naive Bayes