Databases Reference
In-Depth Information
[CSZ06]
O. Chapelle, B. Scholkopf, and A. Zien. Semi-supervised Learning . Cambridge, MA: MIT
Press, 2006.
[CM94]
S. P. Curram and J. Mingers. Neural networks, decision tree induction and discrim-
inant analysis: An empirical comparison. J. Operational Research Society , 45:440-450,
1994.
[CMC05]
H. Cao, N. Mamoulis, and D. W. Cheung. Mining frequent spatio-temporal sequential
patterns. In Proc. 2005 Int. Conf. Data Mining (ICDM'05) , pp. 82-89, Houston, TX, Nov.
2005.
[CMS09]
B. Croft, D. Metzler, and T. Strohman. Search Engines: Information Retrieval in Practice .
Boston: Addison-Wesley, 2009.
[CN89]
P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning , 3:261-283,
1989.
[Coh95]
W. Cohen. Fast effective rule induction. In Proc. 1995 Int. Conf. Machine Learning
(ICML'95) , pp. 115-123, Tahoe City, CA, July 1995.
[Coo90]
G. F. Cooper. The computational complexity of probabilistic inference using Bayesian
belief networks. Artificial Intelligence , 42:393-405, 1990.
[CPS98]
K. Cios, W. Pedrycz, and R. Swiniarski. Data Mining Methods for Knowledge Discovery .
Kluwer Academic, 1998.
[CR95]
Y. Chauvin and D. Rumelhart. Backpropagation: Theory, Architectures, and Applications .
Lawrence Erlbaum, 1995.
[Cra89]
S. L. Crawford.
Extensions to the CART algorithm.
Int.
J. Man-Machine Studies ,
31:197-217, Aug. 1989.
[CRST06]
B.-C. Chen, R. Ramakrishnan, J. W. Shavlik, and P. Tamma. Bellwether analysis: Predict-
ing global aggregates from local regions. In Proc. 2006 Int. Conf. Very Large Data Bases
(VLDB'06) , pp. 655-666, Seoul, Korea, Sept. 2006.
[CS93a]
P. K. Chan and S. J. Stolfo. Experiments on multistrategy learning by metalearning. In
Proc. 2nd. Int. Conf. Information and Knowledge Management (CIKM'93) , pp. 314-323,
Washington, DC, Nov. 1993.
[CS93b]
P. K. Chan and S. J. Stolfo. Toward multi-strategy parallel & distributed learning
in sequence analysis. In Proc. 1st Int. Conf. Intelligent Systems for Molecular Biology
(ISMB'93) , pp. 65-73, Bethesda, MD, July 1993.
[CS96]
M. W. Craven and J. W. Shavlik. Extracting tree-structured representations of trained
networks. In D. Touretzky, M. Mozer, and M. Hasselmo (eds.), Advances in Neural
Information Processing Systems . Cambridge, MA: MIT Press, 1996.
[CS97]
M. W. Craven and J. W. Shavlik.
Using neural networks in data mining.
Future
Generation Computer Systems , 13:211-229, 1997.
[CS-T00]
N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other
Kernel-Based Learning Methods . Cambridge University Press, 2000.
[CSZ C 07]
Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng. Evolutionary spectral clustering by
incorporating temporal smoothness. In Proc. 2007 ACM SIGKDD Intl. Conf. Knowledge
Discovery and Data Mining (KDD'07) , pp. 153-162, San Jose, CA, Aug. 2007.
[CTTX05]
G. Cong, K.-Lee Tan, A. K. H. Tung, and X. Xu. Mining top- k covering rule groups
for gene expression data. In Proc. 2005 ACM-SIGMOD Int. Conf. Management of Data
(SIGMOD'05) , pp. 670-681, Baltimore, MD, June 2005.
 
Search WWH ::




Custom Search