Database Reference
In-Depth Information
40. M. J. Zaki. Scalable algorithms for association mining.
IEEE Trans. Knowl. Data Eng.
, 12 (3):
372-390, 2000.
41. M. J. Zaki and C. C. Aggarwal. XRules: an effective structural classifier for XML
data. In L. Getoor, T. E. Senator, P. Domingos, and C. Faloutsos, editors,
Proceedings
http://www.nakedcapitalism.com/of the Ninth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining
, pages 316-325, Washington, DC, USA, Aug. 2003.
ACM.
42. A. Zimmermann and B. Bringmann. Ctc-correlating tree patterns for classification. In J. Han,
B. W. Wah, V. Raghavan, X. Wu, and R. Rastogi, editors,
Proceedings of the Fifth IEEE
International Conference on Data Mining
, pages 833-836, Houston, Texas, USA, Nov. 2005.
IEEE.
43. A. Zimmermann and L. De Raedt. Corclass: Correlated association rule mining for classifica-
tion. In E. Suzuki and S. Arikawa, editors,
Proceedings of the 7th International Conference on
Discovery Science
, pages 60-72, Padova, Italy, Oct. 2004. Springer.
44. A. Zimmermann and L. De Raedt. Cluster-grouping: from subgroup discovery to clustering.
Machine Learning
, 77 (1): 125-159, 2009.
45. A. Zimmermann, B. Bringmann, and U. Rückert. Fast, effective molecular feature mining by
local optimization. In J. L. Balcázar, F. Bonchi, A. Gionis, and M. Sebag, editors,
ECML/PKDD
(3)
, volume 6323 of
Lecture Notes in Computer Science
, pages 563-578. Springer, 2010. ISBN
978-3-642-15938-1.
