Incremental Document Clustering for Web Page Classification Export

@misc{citeulike:2242773, abstract = {Motivated by the benefits in organizing the documents in Web search engines, we consider the problem of automatic Web page classification. We employ the clustering techniques. Each document is represented by a feature vector. By analyzing the clusters formed by these vectors, we can assign the documents within the same cluster to the same class automatically. Our contributions are the following: (1) We propose a feature extraction mechanism which is more suitable to Web page...}, author = {Wong, W. and Fu, A.}, citeulike-article-id = {2242773}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.7865}, keywords = {classification, clustering, web-page}, posted-at = {2008-01-17 04:41:25}, priority = {2}, title = {Incremental Document Clustering for Web Page Classification}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.7865}, year = {2000} }

TY - GEN ID - citeulike:2242773 L3 - citeulike-article-id:2242773 N2 - Motivated by the benefits in organizing the documents in Web search engines, we consider the problem of automatic Web page classification. We employ the clustering techniques. Each document is represented by a feature vector. By analyzing the clusters formed by these vectors, we can assign the documents within the same cluster to the same class automatically. Our contributions are the following: (1) We propose a feature extraction mechanism which is more suitable to Web page... TI - Incremental Document Clustering for Web Page Classification KW - classification KW - clustering KW - web-page AU - Wong, W AU - Fu, A PY - 2000/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.7865 ER -