OPTIMIZATION MODEL AND DSS FOR MAXIMUM RESOLUTION DICHOTOMIES

James K. Ho, Sydney C. K. Chu, S. S. Lam

Abstract

A topological model is presented for complex data sets in which the attributes can be cast into a dichotomy. It is shown that the relative dominance of the two parts in such a dichotomy can be measured by the corresponding areas in its star plot. An optimization model is proposed to maximize the resolution of such a measure by choice of configuration of the attributes, as well as the angles among them. The approach is illustrated with the case of online auction markets, where there is a buyer-seller dichotomy as to whether conditions are favourable to buyers or sellers. An implementation of the methodology in a spreadsheet based DSS is demonstrated. Its ease of use is promising for diverse applications.

References

  1. Chambers, J., Cleveland, W., Kleiner, B. and Tukey, P., 1983. Graphical Methods for Data Analysis, Belmont, CA: Wadsworth Press.
  2. Cline, A. K., 1974. 'Scalar- and planer-valued curve fitting using splines under tension', Communications of the Association for Computing Machinery 17: pp. 218-220.
  3. Ho, J. K.,2004. 'Topological analysis of online auction markets', International Journal of Electronic Markets 14(3): pp. 202-213.
  4. Ho, J. K., 2005. 'Maximum resolution dichotomy for global diffusion of the Internet', Communications of the Association for Information Systems 16:pp.797- 809.
  5. Ho, J. K., 2006a. 'Maximum resolution dichotomy for investment climate indicators', International Journal of Business Environment 1(1): pp.126-135.
  6. Ho, J. K., 2006b. 'Maximum resolution dichotomy for customer relations management', in Zanansi, A. et al (eds.) Data Mining VII, WIT Press, Southampton, pp. 279-288.
  7. Ho, J. K. and Chu, S. C. K. (2005) 'Maximum resolution topology for multi-attribute dichotomies', Informatica 16 (4): pp. 557-570.
  8. Ho, J. K. and Chu, S. C. K. and Lam, S.S. (2007) 'Maximum resolution topology for online auction markets', International Journal of Electronic Markets 17(2) (to appear).
  9. Hoffman, Patrick and Grinstein, George, 2001. 'A survey of visualizations for high-dimensional data mining', in Usama Fayyad et al (eds.) Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann: pp. 47-82.
  10. Roth, Alvin E. and Ockenfels, Axel (2002) 'Last minute bidding and the rules for ending second-price auctions: theory and evidence from A natural experiment on the Internet', American Economic Review 92(4): pp. 1093-1103.
  11. Scniederjans, M. J., 1995. Goal Programming Methodology and Applications, Kluwer publishers, Boston.
  12. Shneiderman, B., 1992. Tree visualization with tree-maps: a 2-D space-filling approach. ACM Transactions on Graphics 11: pp. 92-99
  13. Tukey, J.W., 1997. Exploratory Data Analysis. AddisonWesley, Reading, MA.
  14. Vandewalle, N., Brisbois, F., Tordoir, X., 2001. 'Nonrandom topology of stock markets'. Quantitative Finance 1: pp. 372-374.
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Paper Citation


in Harvard Style

K. Ho J., C. K. Chu S. and S. Lam S. (2007). OPTIMIZATION MODEL AND DSS FOR MAXIMUM RESOLUTION DICHOTOMIES . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 355-358. DOI: 10.5220/0001630803550358


in Bibtex Style

@conference{icinco07,
author={James K. Ho and Sydney C. K. Chu and S. S. Lam},
title={OPTIMIZATION MODEL AND DSS FOR MAXIMUM RESOLUTION DICHOTOMIES},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={355-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001630803550358},
isbn={978-972-8865-82-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - OPTIMIZATION MODEL AND DSS FOR MAXIMUM RESOLUTION DICHOTOMIES
SN - 978-972-8865-82-5
AU - K. Ho J.
AU - C. K. Chu S.
AU - S. Lam S.
PY - 2007
SP - 355
EP - 358
DO - 10.5220/0001630803550358