REFERENCES

Chapter XIII - Query-By-Structure Approach for the Web
Data Mining: Opportunities and Challenges
by John Wang (ed)
Idea Group Publishing 2003

	Brought to you by Team-Fly

Armstrong, R.,Freitag, D.,Joachims, T., &Mitchell, T. (1995). WebWatcher: A learning apprentice for the World Wide. Workshop on Information Gathering for Heterogeneous Distributed Environments, AAAI Spring Symposium Series, Stanford, CA, pp. 6 12. Menlo Park, CA: AAAI Press. http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo-6/Web-agent/www/ijcai97.ps.

Berners-Lee, T., Hendler, J. & Lassila, O. (2001). The semantic Web. Scientific American, May, pp. 35 43. Available online at: http://www.sciam.com/2001/0501issue/0501berners-lee.html.

Boyan, J., Freitag, D., & Joachims, T. (1996). A machine-learning architecture for optimizing Web search engines. AAAI-96 Workshop on Internet-based Information Systems, August, Portland, OR. pp. 334 335. Menlo Park, CA: AAAI Press.

Brin, S. & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Proceedings of the 7^th International World Wide Web Conference, April, Brisbane, Australia, pp. 107 117, Elsevier Science. http://www7.scu.edu.au/programme/fullpapers/1921/com1921.htm.

Fotouhi, F., Grosky, G., & Johnson, M. (1999). CLaP: A system to query the Web using content, link, and presentation information. Proceedings of the 14^th International Symposium on Computer and Information Sciences, October, Kusadasi, Turkey. pp.214 221, Springer-Verlag.

Hagan, M., Demuth, H., & Beale, M. (1996). Neural network design, 1^st ed., Boston, MA: PWS Publishing Company.

Johnson, M., Fotouhi, F., & Draghici, S., (2001). A neural network net query-by-structure approach. 12th International Conference of the Information Resources Management Association, IRMA'01, May, Toronto, Canada, pp. 108 111, Idea Group Publishing.

Konopnicki. D, & Shmueli, O. (1995). W3QS: A query system for the World Wide Web. Proceedings of the 21^st International Conference on Very Large Data Bases. Zurich, Switzerland. pp. 11 15, Morgan Kaufmann.

Lakshmanan, L.V.S., Sadri, F., & Subramanian, I.N. (1996). A declarative language for querying and restructuring the Web. Proceedings of the Sixth International Workshop on Research Issues in Data Engineering, New Orleans, LA: USA, pp. 12 21, IEEE Computer Society Press.

Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning 2:285 318.

Mendelzon, A.O., Mihaila, G.A., & Milo, T. (1996). Querying the World Wide Web. Proceedings of the International Conference on Parallel and Distributed Information Systems (PDIS'96). Miami, Florida. pp. 54 67, IEEE Computer Society Press.

Pazzani, M., Muramatsu, J., & Billsus D. (1996). Syskill & Webert: Identifying interesting Web sites. Proceedings of the 13^th National Conference on Artificial Intelligence, Menlo Park, CA: USA, pp. 54 61, AAAI Press, <http://www.ics.uci.edu/~pazzani/RTF/AAAI.html>.

Salton, G., & McGill, M.J. (1983). Introduction to modern information retrieval. New York: McGraw-Hill Inc.

	Brought to you by Team-Fly