Map Quality Measurements for GNG and SOM based Document Collection Maps

• Autorzy: Kłopotek M. A. , Wierzchoń S. T. , Ciesielski K. , Dramiński M. , Czerski D. , Kujawiak M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a proposal of a set of measures for comparison of maps of document collections as well as preliminary results concerning evaluation of their usefulness and expressive power.

Słowa kluczowe

EN

Search Engines; map of document collection

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2006
• Tom: Vol. 1(7)
• Strony: 65--76
• Opis fizyczny: Bibliogr. 16 poz., tab.

Twórcy

autor

Kłopotek M. A.

• Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21, 01-237 Warsaw, Poland

autor

Wierzchoń S. T.

• Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21, 01-237 Warsaw, Poland

autor

Ciesielski K.

• Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21, 01-237 Warsaw, Poland

autor

Dramiński M.

• Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21, 01-237 Warsaw, Poland

autor

Czerski D.

• Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21, 01-237 Warsaw, Poland

autor

Kujawiak M.

• Institute of Computer Science, University of Podlasie, ul. Sienkiewicza 51, 08-110 Siedlce, Poland

Bibliografia

• [1] K. Ciesielski, M. Dramiński, M. Kłopotek, M. Kujawiak, S. Wierzchoń: On some clustering algorithms. To appear in Proc. Intelligent Information Processing and Web Mining, Gdansk 2005.
• [2] K. Ciesielski, M. Dramiński, M. Kłopotek, M. Kujawiak, S. Wierzchoń: Architecture for graphical maps of Web contents. Proc. WISIS'2004, Warsaw
• [3] K. Ciesielski, M. Dramiński, M. Kłopotek, M. Kujawiak, S. Wierzchoń: Mapping document collections in non-standard geometries. B. De Beats, R. De Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadrożny (eds): Current Issues in Data and Knowledge Engineering. Akade-micka Oficyna Wydawnicza EXIT Publ., Warszawa 2004. pp. 122-132.
• [4] K. Ciesielski, M. Dramiński, M. Kłopotek, M. Kujawiak, S. Wierzchoń: Clustering medical and biomedical texts - document map based approach. Proc. Sztuczna Inteligencja w Inżynierii Biomedycznej SIIB'04, Kraków. ISBN-83¬-919051-5-2
• [5] K. Ciesielski, M. Dramiński, M. Kłopotek, M. Kujawiak, S. Wierzchoń: Crisp versus Fuzzy Concept Boundaries in Document Maps, to appear in Proc DMIN-05
• [6] Fritzke, B.A growing neural gas network learns topologies. In G. Tesauro, D.S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995, pp. 625-632.
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• [8] M. Kłopotek, M. Dramiński, K. Ciesielski, M. Kujawiak, S.T. Wierzchoń: Mining document maps. Proc. W1 - Statistical Approaches to Web Mining (SAWM) of PKDD'04, M. Gori, M. Celi, M. Nanni eds., Pisa, Italy, September 20-24, pp. 87-98.
• [9] M.A. Kłopotek: A New Bayesian Tree Learning Method with Reduced Time and Space Complexity. Fundamenta Informaticae, 49 (no 4) 2002, IOS Press, pp. 349-367.
• [10] Press, W.M., Flannery, B.P., Teukolsky, S.A., & Vetterling, W.T. Numerical recipes: The art of scientific computing. New York, NY: Cambridge University Press, 1986.
• [11] Y. Zhao, G. Karypis, Criterion functions for document Clustering: Experiments and analysis, available at URL: http://www-users.cs.umn.edu/~karypis/publications/ir.html.
• [12] Sammon Mapping, http://www.eng.man.ac.uk/mech/merg/research/datafusion.org.uk/techniques/sa mmon.html, November 2003
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• [14] K. Kiviluoto, Topology Preservation in Self-Organizing Maps, Proceedings of ICANN 96, IEEE International Conference on Neural Networks, 1996.
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• [16] Wilkowski A.: M.Sc. Thesis, Warsaw University of Technology. (supervised by M.A. Klopotek).