Abstract
The study proposed the method of keyword enhanced Web structure mining which combines the ideas of Web content mining with Web structure mining. The method was used to mine data on business competition among a group of DSLAM companies. Specifically, the keyword DSLAM was incorporated into queries that searched for co-links between pairs of company Websites. The resulting co-link matrix was analyzed using multidimensional scaling (MDS) to map business competition positions. The study shows that the proposed method improves upon the previous method of Web structure mining alone by producing a more accurate map of business competition in the DSLAM sector.
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Vaughan, L., You, J. (2009). Keyword Enhanced Web Structure Mining for Business Intelligence. In: Damiani, E., Yetongnon, K., Chbeir, R., Dipanda, A. (eds) Advanced Internet Based Systems and Applications. SITIS 2006. Lecture Notes in Computer Science, vol 4879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01350-8_15
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DOI: https://doi.org/10.1007/978-3-642-01350-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01349-2
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