Data Mining: The Textbook
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M. J. Zaki, and M. Wagner Jr. Data mining and analysis: fundamental concepts and algorithms. Cambridge University Press, 2014.
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M. J. Zaki, and K. Gouda. Fast vertical mining using diffsets. ACM KDD Conference,
326–335, 2003.
M. J. Zaki, and C. Hsiao. CHARM: An efficient algorithm for closed itemset mining.
SIAM Conference on Data Mining, pp. 457–473, 2002.
M. J. Zaki, and C. Aggarwal. XRules: An effective algorithm for structural classifica-tion of XML data. Machine Learning, 62(1–2), pp. 137–170, 2006.
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Y. Zhai, and B. Liu. Web data extraction based on partial tree alignment. World Wide Web Conference, pp. 76–85, 2005.
D. Zhan, M. Li, Y. Li, and Z.-H. Zhou. Learning instance specific distances using metric propagation. ICML Conference, pp. 1225–1232, 2009.
H. Zhang, A. Berg, M. Maire, and J. Malik. SVM-KNN: Discriminative nearest neigh-bor classification for visual category recognition. Computer Vision and Pattern Recog-nition, pp. 2126–2136, 2006.
J. Zhang, Z. Ghahramani, and Y. Yang. A probabilistic model for online document clustering with application to novelty detection. Advances in Neural Information Pro-cessing Systems, pp. 1617–1624, 2004.
J. Zhang, Q. Gao, and H. Wang. SPOT: A system for detecting projected outliers from high-dimensional data stream. ICDE Conference, 2008.
D. Zhang, and G. Lu. Review of shape representation and description techniques. Pattern Recognition, 37(1), pp. 1–19, 2004.
S. Zhang, W. Wang, J. Ford, and F. Makedon. Learning from incomplete ratings using nonnegative matrix factorization. SIAM Conference on Data Mining, pp. 549– 553, 2006.
T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: an efficient data clustering method for very large databases. ACM SIGMOD Conference, pp. 103–114, 1996.
Z. Zhao, and H. Liu. Spectral feature selection for supervised and unsupervised learn-ing. ICML Conference, pp. 1151–1157, 2007.
D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. Advances in Neural Information Processing Systems, 16(16),
321–328, 2004.
D. Zhou, J. Huang, and B. Scholkopf. Learning from labeled and unlabeled data on a directed graph. ICML Conference, pp. 1036–1043, 2005.
726 BIBLIOGRAPHY
F. Zhu, X. Yan, J. Han, P. S. Yu, and H. Cheng. Mining colossal frequent patterns by core pattern fusion. ICDE Conference, pp. 706–715, 2007.
X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. ICML Conference, pp. 912–919, 2003.
X. Zhu, and A. Goldberg. Introduction to semi-supervised learning. Morgan and Clay-pool, 2009.
http://db.csail.mit.edu/labdata/labdata.html.
http://www.itl.nist.gov/iad/mig/tests/tdt/tasks/fsd.html.
http://sifter.org/~simon/journal/20061211.html.
http://www.netflixprize.com/.
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