Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes

Author:

Schmidt Fabian,Spott Martin

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Blanchard, J., Guillet, F., Briand, H.: A user-driven and quality-oriented visualization for mining association rules. In: 3rd IEEE Int. Conf. on Data Mining (ICDM 2003), pp. 493–496. IEEE Press (2003)

2. Blanchard, J., Guillet, F., Briand, H.: Exploratory visualization for association rule rummaging. In: Proc. of the 4th Int. Workshop on Multimedia Data Mining (MDM/KDD 2003), pp. 107–114 (2003)

3. Blanchard, J., Guillet, F., Briand, H.: Interactive visual exploration of association rules with rule-focusing methodology. Knowl. Inf. Syst. 13, 43–75 (2006)

4. Blanchard, J., Pinaud, B., Kuntz, P., Guillet, F.: A 2D–3D visualization support for human-centered rule mining. Comput. Graph. 31, 350–360 (2007)

5. Böttcher, M.: Discovering Interesting Temporal Changes in Association Rules. Diplomarbeit, Faculty of Computer Science, University of Magdeburg, Germany (2005)

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