A Visualization System using Data Mining Techniques for Identifying Information Sources
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Authors
WebNet World Conference on the WWW and Internet, 2000 in San Antonio, Texas
Abstract
The World Wide Web provides great opportunities for serving as a repository of knowledge, yet presents great challenges in accessing this knowledge. Limitations of current search technologies are well known and include shortcomings in information filtering and authentication of sources. Recently, data mining and information visualization techniques in Web search have provided new tools to complement conventional search methodologies. The Visual Analysis System (VAS) was developed to couple emerging successes in data mining with information visualization techniques in order to create a richly interactive environment for information retrieval from the Web. VAS's retrieval strategy operates by first using a conventional search engine to form a core set of retrieved documents. This core set is expanded by crawling from links in these documents to form a much larger set. The link topology of the larger set is then examined using data mining techniques to identify pages likely to be both relevant to the query and reliable as sources of information. Information visualization techniques are used to display the filtered set in a form amenable to the use of perceptual processes to filter and guide further user directed search.
Citation
Fowler, R., Karadayi, T., Chen, Z., Meng, X. & LawrenceFowler, W. (2000). A Visualization System using Data Mining Techniques for Identifying Information Sources. In Proceedings of WebNet World Conference on the WWW and Internet 2000 (pp. 193-198). San Antonio, Texas: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/p/6360.
© 2000 AACE