Visual interactive failure analysis

Author:

Angelini Marco1,Ferro Nicola2,Silvello Gianmaria2,Santucci Giuseppe1

Affiliation:

1. Sapienza University of Rome, Italy

2. University of Padua, Italy

Publisher

ACM Press

Reference18 articles.

1. {Banks et al., 1999} Banks, D., Over, P., and Zhang, N.-F. (1999). Blind Men and Elephants: Six Approaches to TREC data.Information Retrieval, 1: 7--34.

2. {Berkhin, 2006} Berkhin, P. (2006). A Survey of Clustering Data Mining Techniques. In Kogan, J., Nicholas, C., and Teboulle, M., editors,Grouping Multidimensional Data, pages 25--71. Springer-Verlag, Heidelberg, Germany.

3. {Derthick et al., 2003a} Derthick, M., Christel, M. G., Hauptmann, A. G., and Wactlar, H. D. (2003a). Constant density displays using diversity sampling. InProceedings of InfoVis'03, pages 137--144, Washington, DC, USA. IEEE Computer Society.

4. {Derthick et al., 2003b} Derthick, M., Christel, M. G., Hauptmann, A. G., and Wactlar, H. D. (2003b). Constant density displays using diversity sampling. InProceedings of the IEEE Information Visualization, pages 137--144.

5. {Freund et al., 2003} Freund, Y., Iyer, R., Schapire, R. E., and Singer, Y. (2003). An Efficient Boosting Algorithm for Combining Preferences.Journal of Machine Learning Research, 4(Nov): 933--969.

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