VISUAL AND SPATIAL ANALYSIS:
Advances in Data Mining,
Reasoning and Problem Solving

Visual data mining using monotone Boolean functions
Boris Kovalerchuk and Florian Delizy

    Chapter 16 References

    ·          Beilken, C., Spenke, M., Visual interactive data mining with InfoZoom -the Medical Data Set. The 3rd European  Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD ’99, Sept. 15-18, 1999, Prague, Czech Republic. http://citeseer.nj.nec.com/473660.html

    ·          Ebert, D., Shaw, C., Zwa, A., Miller, E., Roberts, D. Two-handed interactive stereoscopic visualization. IEEE Visualization ’96 Conference.1996, pp. 205-210.

    ·          Goel, A., Visualization in Problem Solving Environments. Virginia Polytechnic Institute and State University, 1999.MS. Thesis, 64 p. www.amitgoel.com/vizcraft/docs/ masters_thesis.pdf

    ·          Groth, D., Robertson, E., Architectural support for database visualization, Workshop on New Paradigms in Information Visualization and Manipulation, 53-55,1998, .pp. 53-55.

    ·          Hansel, G., Sur le nombre des functions Bool´eenes monotones de n variables. C.R. Acad. Sci., Paris (in French), 262(20), pp.1088–1090, 1966

    ·          Inselberg, A., Dimsdale, B., Parallel coordinates: A tool for visualizing multidimensional Geometry. Proceedings of IEEE Visualization ’90, Los Alamitos, CA, IEEE Computer Society Press, 1990, pp. 360–375.

    ·          Keim,D., Ming C. Hao, Dayal, U., Meichun Hsu. Pixel bar charts: a visualization technique for very large multiattributes data sets. Information Visualization, March  2002, Vol. 1, N. 1, pp. 20–34.

    ·          Kovalerchuk, B., Triantaphyllou, E., Despande, A.,Vityaev, E., Interactive Learning of Monotone Boolean Functions. Information Sciences, Vol. 94, issue 1-4, pp. 87–118, 1996.

    ·          Kovalerchuk, B., Vityaev, E., Ruiz, J., Consistent knowledge discovery in medical diagnosis. IEEE Engineering in Medicine and Biology, (Special issue on Data Mining and Knowledge Discovery), v. 19, n. 426–37, 2000.

    ·          Kovalerchuk, B., Vityaev, E., Ruiz, J., Consistent and complete data and “expert” mining in medicine. Medical Data Mining and Knowledge Discovery, Springer, 2001:238–280.

    ·          Last, M., Kandel, A., Automated perceptions in data mining, invited paper. 1999, IEEE International Fuzzy Systems Conference Proceedings, Part I, Seoul, Korea, Aug 1999, pp.190–197.

    ·          Post, F., T. van Walsum, Post,F., Silver, D., Iconic techniques for feature visualization. In Proceedings Visualization ’95, pp. 288–295, 1995.

    ·          Ribarsky, W., Ayers, E., Eble, J., Mukherja, S., Glyphmaker: creating customized visualizations of complex data. IEEE Computer, 27(7), pp. 57–64, 994.

    ·          Shaw, C., Hall, J., Blahut, C., Ebert, D., Roberts. A., Using shape to visualize multivariate data. CIKM’99 Workshop on New Paradigms in Information Visualization and Manipulation, ACM Press, 1999, pp. 17-20.

    ·          Ward, M., A taxonomy of glyph placement strategies for multidimensional data visualization. Information Visualization 1, 2002, pp. 194–210.

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