Data Mining_ Concepts and Techniques - Jiawei Han [388]
[CS96] Craven, M.W.; Shavlik, J.W., Extracting tree-structured representations of trained networks, In: (Editors: Touretzky, D.; Mozer, M.; Hasselmo, M.) Advances in Neural Information Processing Systems (1996) MIT Press, Cambridge, MA.
[CS97] Craven, M.W.; Shavlik, J.W., Using neural networks in data mining, Future Generation Computer Systems 13 (1997) 211–229.
[CS-T00] Cristianini, N.; Shawe-Taylor, J., An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. (2000) Cambridge University Press .
[CSZ+07] Chi, Y.; Song, X.; Zhou, D.; Hino, K.; Tseng, B.L., Evolutionary spectral clustering by incorporating temporal smoothness, In: Proc. 2007 ACM SIGKDD Intl. Conf. Knowledge Discovery and Data Mining (KDD’07) San Jose, CA. (Aug. 2007), pp. 153–162.
[CTTX05] Cong, G.; Tan, K.-Lee; Tung, A.K.H.; Xu, X., Mining top-k covering rule groups for gene expression data, In: Proc. 2005 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD’05) Baltimore, MD. (June 2005), pp. 670–681.
[CWL+08] Cong, G.; Wang, L.; Lin, C.-Y.; Song, Y.-I.; Sun, Y., Finding question-answer pairs from online forums, In: Proc. 2008 Int. ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR’08) Singapore. (July 2008), pp. 467–474.
[CYHH07] Cheng, H.; Yan, X.; Han, J.; Hsu, C.-W., Discriminative frequent pattern analysis for effective classification, In: Proc. 2007 Int. Conf. Data Engineering (ICDE’07) Istanbul, Turkey. (Apr. 2007), pp. 716–725.
[CYHY08] Cheng, H.; Yan, X.; Han, J.; Yu, P.S., Direct discriminative pattern mining for effective classification, In: Proc. 2008 Int. Conf. Data Engineering (ICDE’08) Cancun, Mexico. (Apr. 2008), pp. 169–178.
[CYZ+08] Chen, C.; Yan, X.; Zhu, F.; Han, J.; Yu, P.S., Graph OLAP: Towards online analytical processing on graphs, In: Proc. 2008 Int. Conf. Data Mining (ICDM’08) Pisa, Italy. (Dec. 2008), pp. 103–112.
[Dar10] Darwiche, A., Bayesian networks, Communications of the ACM 53 (2010) 80–90.
[Das91] Dasarathy, B.V., Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. (1991) IEEE Computer Society Press .
[Dau92] Daubechies, I., Ten Lectures on Wavelets. (1992) Capital City Press .
[DB95] Dietterich, T.G.; Bakiri, G., Solving multiclass learning problems via error-correcting output codes, J. Artificial Intelligence Research 2 (1995) 263–286.
[DBK+97] Drucker, H.; Burges, C.J.C.; Kaufman, L.; Smola, A.; Vapnik, V.N., Support vector regression machines, In: (Editors: Mozer, M.; Jordan, M.; Petsche, T.) Advances in Neural Information Processing Systems 9 (1997) MIT Press, Cambridge, MA, pp. 155–161.
[DE84] Day, W.H.E.; Edelsbrunner, H., Efficient algorithms for agglomerative hierarchical clustering methods, J. Classification 1 (1984) 7–24.
[De01] In: (Editors: Dzeroski, S.; Lavrac, N.) Relational Data Mining (2001) Springer, New York.
[DEKM98] Durbin, R.; Eddy, S.; Krogh, A.; Mitchison, G., Biological Sequence Analysis: Probability Models of Proteins and Nucleic Acids. (1998) Cambridge University Press .
[Dev95] Devore, J.L., Probability and Statistics for Engineering and the Sciences. 4th ed. (1995) Duxbury Press .
[Dev03] Devore, J.L., Probability and Statistics for Engineering and the Sciences. 6th ed. (2003) Duxbury Press .
[DH73] Donath, W.E.; Hoffman, A.J., Lower bounds for the partitioning of graphs, IBM J. Research and Development 17 (1973) 420–425.
[DH00] Domingos, P.; Hulten, G., Mining high-speed data streams, In: Proc. 2000 ACM SIGKDD Int. Conf. Knowledge Discovery in Databases (KDD’00) Boston, MA. (Aug. 2000), pp. 71–80.
[DHL+01] Dong, G.; Han, J.; Lam, J.; Pei, J.; Wang, K., Mining multi-dimensional constrained gradients in data cubes, In: Proc. 2001 Int. Conf. Very Large Data Bases (VLDB’01) Rome, Italy. (Sept. 2001), pp. 321–330.
[DHL+04] Dong, G.; Han, J.; Lam, J.; Pei, J.; Wang, K.; Zou, W., Mining constrained gradients in multi-dimensional databases, IEEE Trans.