Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Web classification using support vector machine
Proceedings of the 4th international workshop on Web information and data management
Data mining for hypertext: a tutorial survey
ACM SIGKDD Explorations Newsletter
Web unit mining: finding and classifying subgraphs of web pages
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Using urls and table layout for web classification tasks
Proceedings of the 13th international conference on World Wide Web
Applying web analysis in web page filtering
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Web page classification without the web page
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Fast webpage classification using URL features
Proceedings of the 14th ACM international conference on Information and knowledge management
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We propose a framework for building a high-quality web page collection considering page group structure in a two-step process: rough filtering and accurate classification. In both processes, we apply the idea of local page group structure. The rough filtering comprehensively gathers all potential homepages from the web with as few noise pages as possible. It uses property-based keyword lists according to four page group models that are based on the page group structure. The accurate classification uses a textual feature set for the support vector machine, which is composed by independently concatenating the feature subsets on the surrounding pages grouped according to the page group structure. Using a combination of a recall-assured classifier and a precision-assured classifier, we build a three-way classifier to accurately select the pages that need manual assessment to assure the required quality. The effectiveness of proposed method is shown by the experimental results.