Abstract
SOM document-map based search engines require initial document clustering in order to present results in a meaningful way. This paper reports on our ongoing research in applications of Bayesian Networks for document map creation at various stages of document processing. Modifications are proposed to original algorithms based on our experience of superiority of crisp edge point between classes/groups of documents.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
de Campos, L.M., Fernández, J.M., Huete, J.F.: Query expansion in information retrieval systems using a Bayesian network-based thesaurus. In: Proc. 14th Conference on Uncertainty in AI, Madison, pp. 53–60 (July 1998)
Ciesielski, K., Dramiński, M., Kłopotek, M., Kujawiak, M., Wierzchoń, S.: On some clustering algorithms. To appear in Proc. Intelligent Information Processing and Web Mining, Gdansk (2005)
Kłopotek, M., Dramiński, M., Ciesielski, K., Kujawiak, M., Wierzchoń, S.T.: Mining document maps. In: Gori, M., Celi, M., Nanni, M. (eds.) Proc. Statistical Approaches to Web Mining of PKDD 2004, Pisa, Italy, September 20-24, pp. 87–98 (2004)
Ciesielski, K., Dramiński, M., Kłopotek, M., Kujawiak, M., Wierzchoń, S.: Mapping document collections in non-standard geometries. In: De Beats, B., De Caluwe, R., de Tre, G., Fodor, J., Kacprzyk, J., Zadrony, S. (eds.) Current Issues in Data and Knowledge Engineering, pp. 122–132. EXIT Publ., Warszawa (2004)
Cohn, D., Hofmann, T.: The missing link - a probabilistic model of document content and hypertext connectivity. In: Leen, T.K., et al. (eds.) Advances in Neural Information Processing Systems, vol. 10 (2001)
Kłopotek, M.A.: A New Bayesian Tree Learning Method with Reduced Time and Space Complexity. In: Fundamenta Informaticae, vol. 49(4), pp. 349–367. IOS Press, Amsterdam (2002)
Kohonen, T.: Self-Organizing Maps. Springer Series in Information Sciences, vol. 30. Springer, Heidelberg (2001)
Lagus, K.: Text Mining with WebSOM, PhD Thesis, HUT, Helsinki (2000)
Syskill & Webert, http://kdd.ics.uci.edu/databases/SyskillWebert/SyskillWebert.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kłopotek, M.A., Wierzchoń, S.T., Ciesielski, K., Dramiński, M., Czerski, D. (2005). Coexistence of Fuzzy and Crisp Concepts in Document Maps. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_136
Download citation
DOI: https://doi.org/10.1007/11550907_136
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28755-1
Online ISBN: 978-3-540-28756-8
eBook Packages: Computer ScienceComputer Science (R0)