Edwige Fangseu Badjio, François Poulet


The main purpose of this work is to integrate HCI (Human Computer Interaction) requirements in visual data mining tools engineering. We present the definition of metrics/measurements in order to improve the quality of those tools at all the steps or after the development process. On the basis of these metrics/measurements, we have derived a questionnaire for the evaluation of the utility, the usability and the acceptability of visual data mining environments. A case study enables us to concretely materialize the contribution of the measurements and also to detect and explain (design and usage) errors.


  1. Ankerst M., 2000. "Visual Data Mining", PhD Thesis, Ludwig Maximilians University of Munich, 2000.
  2. Ankerst, M., Elsen C., Ester, M., and Kriegel, H.-P., 1999. Visual classiffication: An interactive approach to decision tree construction. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p. 392-396.
  3. Basili, V., Caldiera, G. and Rombach, D., 1994. The Goal Question Metric Approach. Encyclopedia of Software Engineering. Wiley 1994.
  4. Bastien, J.M.C., and Scapin, D.L., Leulier C., 1999. The ergonomic criteria and the ISO/DIS 9241-10 dialogue principles: a pilot comparison in an evaluation task. Interacting with Computers, Vol. 11, n° 3, p. 299-322, 1999.
  5. Blake, C., Merz, C., 1998. UCI Repository of machine learning databases, [ pository.html]. Irvine, University of California, Department of Information and Computer Science.
  6. Boehm, B. and Basili, V., 2001. Software Defect Reduction Top 10 List, IEEE Computer, Vol.. 34, No. 1, January 2001.
  7. Boëhm, B., 1978. Characteristics of software quality, Vol 1 of TRW series on softwaretechnology, NorthHolland, Amsterdam, Netherlands, 1978.
  8. Costabile, M.F., 2001. Usability in software life cycle In Handbook of of Software Engineering and Knowledge Engineering, SK Chang Ed., World Scientific, Vol , World Scientific Publ. Company, 2001.
  9. Fangseu Badjio E., Poulet F., 2004, A decision support system for data miners, in proc. of AISTA'04, The International Conference on Advances in Intelligent Systems - Theory and Applications in cooperation with IEEE, Luxembourg-Kirchberg, Luxembourg, November 15 - 18 2004, ISBN 2-9599776-8-8.
  10. Fangseu Badjio E., Poulet F., Usability of Visual Data Mining Tools, in proc. of ICEIS'04, the 6th International Conference on Enterprise Information Systems, Porto, Portugal, April 2004, Vol.5, 254-258, ISBN: 972-8865-00-7.
  11. Fayyad, U. M., Piatetsky-Shapiro, G., and Smyth, P. 1996. editors Advances in Knowledge Discovery and Data Mining. AAAI Press / MIT Press, Menlo Park, CA.
  12. Grinstein ,G. G., Hoffman, P., Laskowski ,S. J. and Pickett, R. M., 1997. Benchmark Development for the Evaluation of Visualization for Data Mining Proc. of the Workshop: Issues in the Integration of Data Mining and Data Visualization, Newport Beach, California, August 17, 1997.
  13. Han, J., Cercone, N., 2001. "Interactive Construction of Decision Trees" in proc. of PAKDD'2001,LNAI 2035, 575-580, 2001.
  14. Healey, C.G., 1996. Choosing Effective Colours for Data Visualization , in Proceedings of the 7th conference on Visualization 7896, p 263-270.
  15. ISO (International Organization for Standardization), 1997. ISO 9241: Ergonomics Requirements for Office Work with Visual Display Terminal (VDT) - Parts 1- 17.
  16. ISO (International Organization for Standardization), 1998. ISO 13407: Human-Centered Design Process for Interactive Systems, 1998.
  17. ISO/IEC (International Organization for Standardization and International Electrotechnical Commision), 1998. ISO/IEC 9126-1: Information Technology - Software Product Quality, 1998.
  18. Kolski, C., Ezzedine, H., Abed, M., 2001. Développement du logiciel: des cycles classiques aux cycles enrichis sous l'angle des IHM. In Kolski C. (Ed.), Analyse et Conception de l'IHM. Interaction Homme-machine pour les SI, vol. 1, Hermès, Paris, pp. 23-49, ISBN 2- 7462-0239-5.
  19. McCall, J.A., Richards, P.K., and Walters, G.F., 1977. Factors in software quality, Vols I-III, Rome Air Development Centre, Italy.
  20. Murine, G. and Carpenter, C., 1984. Measuring software product quality", Quality progress, Vol 7(5), p16-20,.
  21. Nielsen, J., 1993. Usability Engineering, Academic Press, Cambridge, MA.
  22. Nielsen, J., 2000. Why You Only Need to Test With 5 Users
  23. Poulet, F., 2001. "CIAD: Interactive Decision Tree Construction, in proc. of VIII Rencontres de la Société Francophone de Classification, Pointe-à-Pitre, 275- 282.
  24. Ware, M., Franck, E., Holmes, G., Hall, M., Witten, I., 2001. "Interactive Machine Learning: Letting Users Build Classifiers", in International Journal of HumanComputer Studies (55), 281-292, 2001.
  25. Wong, P.C., Visual Data Mining, in IEEE Computer Graphics and Applications, 19(5), p.20-21, Sept.Oct. 1999.

Paper Citation

in Harvard Style

Fangseu Badjio E. and Poulet F. (2005). VISUAL DATA MINING TOOLS: QUALITY METRICS DEFINITION AND APPLICATION . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-19-8, pages 98-103. DOI: 10.5220/0002547700980103

in Bibtex Style

author={Edwige Fangseu Badjio and François Poulet},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,},

in EndNote Style

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,
SN - 972-8865-19-8
AU - Fangseu Badjio E.
AU - Poulet F.
PY - 2005
SP - 98
EP - 103
DO - 10.5220/0002547700980103