Web structure mining: an introduction

@inproceedings{citeulike:2481382, abstract = {Due to the increasing amount of data available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering, and Web based data warehousing. In this paper, we provide an introduction of Web mining as well as a review of the Web mining categories. Then we focus on one of these categories: the Web structure mining. Within this category, we introduce link mining and review two popular methods applied in Web structure mining: HITS and PageRank.}, author = {da Costa, M. G. and Gong, Zhiguo }, booktitle = {Information Acquisition, 2005 IEEE International Conference on}, citeulike-article-id = {2481382}, doi = {10.1109/ICIA.2005.1635156}, journal = {Information Acquisition, 2005 IEEE International Conference on}, keywords = {web\_mining}, pages = {6 pp.+}, posted-at = {2008-03-07 17:03:00}, priority = {3}, title = {Web structure mining: an introduction}, url = {http://dx.doi.org/10.1109/ICIA.2005.1635156}, year = {2005} }

TY - CONF ID - citeulike:2481382 L3 - citeulike-article-id:2481382 TI - Web structure mining: an introduction T2 - Information Acquisition, 2005 IEEE International Conference on JF - Information Acquisition, 2005 IEEE International Conference on SP - 6 pp. N2 - Due to the increasing amount of data available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering, and Web based data warehousing. In this paper, we provide an introduction of Web mining as well as a review of the Web mining categories. Then we focus on one of these categories: the Web structure mining. Within this category, we introduce link mining and review two popular methods applied in Web structure mining: HITS and PageRank. KW - web_mining AU - da Costa, MG AU - Gong, Zhiguo PY - 2005/// UR - http://dx.doi.org/10.1109/ICIA.2005.1635156 ER -