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publications by dr. J. Vreeken

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dr. J. Vreeken

• contact information
• my technical reports
• former member of group algorithmic data analysis

some publications

Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2010). Krimp: Mining Itemsets that Compress. Data Mining and Knowledge Discovery.

Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2009). Identifying the Components. Data Mining and Knowledge Discovery, 19(2), 176-193.

Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2009). Identifying the components. Data Mining and Knowledge Discovery, 19(2), 176-193.

Heikinheimo, H., Vreeken, J., Siebes, A.P.J.M. & Mannila, H. (2009). Low-Entropy Set Selection. In Proceedings of the SIAM International Conference on Data Mining, SDM 2009 (pp. 569-580).

Vreeken, J. (2009, December 15). Making Pattern Mining Useful. UU Universiteit Utrecht (194 pag.) ( Utrecht University). Prom./coprom.: prof. dr. A.P.J.M. Siebes.

Vreeken, J. & Siebes, A.P.J.M. (2008). Filling in the Blanks - Krimp Minimisation for Missing Data. In F. Gianotti, D. Gunopoulos, F. Turini, C. Zaniolo, N. Ramakrishnan & Xindong Wu (Eds.), Proceedings of the IEEE International Conference on Data Mining (pp. 1067-1072). IEEE.

Tatti, N. & Vreeken, J. (2008). Finding Good Itemsets by Packing Data. In F. Gianotti, D. Gunopoulos, F. Turini, C. Zaniolo, N. Ramakrishnan & Xindong Wu (Eds.), Proceedings of the IEEE International Conference on Data Mining (pp. 588-597). IEEE.

Vreeken, J. & Siebes, A.P.J.M. (2008). Krimp Minimisation for Missing Data Estimation. UU-CS 2008-034. onbekend: UU WINFI Informatica en Informatiekunde.

Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Characterising the Difference. UU-CS 2007-014. onbekend: UU WINFI Informatica en Informatiekunde.

Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Characterising the Difference. In P. Berkin, R. Caruana, X. Wu & S. Gaffney (Eds.), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 765-774). ACM.

Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Preserving Privacy through Data Generation. In N. Ramakrishnan, O. Za�e, Y. Shi, C.W. Clifton & X. Wu (Eds.), Proceedings of the IEEE International Conference on Data Mining (pp. 685-690). IEEE.

Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Privacy Preservation through Data Generation. UU-CS 2007-020. onbekend: UU WINFI Informatica en Informatiekunde.

Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2006). Compression Picks Item Sets That Matter. In J. Furnkranz, T. Scheffer & M. Spiliopoulou (Eds.), Knowledge Discovery in Databases: PKDD (pp. 585-592). Springer.

Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2006). Compression Picks the Significant Item Sets. onbekend: UU WINFI Informatica en Informatiekunde.

Siebes, A.P.J.M., Vreeken, J. & Leeuwen, M. van (2006). Item Sets that Compress. In J. Ghosh, D. Lambert, J. Srivastava & D.B. Skillicorn (Eds.), SIAM Conference on Data Mining (pp. 393-404). SIAM.