|
|
səhifə | 409/423 | tarix | 07.01.2024 | ölçüsü | 17,13 Mb. | | #211690 |
| 1-Data Mining tarjima
-
L. H. Cox. Suppression methodology and statistical disclosure control. Journal of the American Statistical Association, 75(370), pp. 377–385, 1980.
-
E. Cohen, M. Datar, S. Fujiwara, A. Gionis, P. Indyk, R. Motwani, and C. Yang. Find-ing interesting associations without support pruning. IEEE Transactions on Knowl-edge and Data Engineering, 13(1), pp. 64–78, 2001.
-
T. Dalenius, and S. Reiss. Data-swapping: A technique for disclosure control. Journal of statistical planning and inference, 6(1), pp. 73–85, 1982.
-
G. Das, and H. Mannila. Context-based similarity measures for categorical databases. PKDD Conference, pp. 201–210, 2000.
-
B. V. Dasarathy. Nearest neighbor (NN) norms: NN pattern classification techniques.
IEEE Computer Society Press, 1990,
-
S. Deerwester, S. Dumais, T. Landauer, G. Furnas, and R. Harshman. Indexing by latent semantic analysis. JASIS, 41(6), pp. 391–407, 1990.
-
C. Ding, X. He, and H. Simon. On the equivalence of nonnegative matrix factorization and spectral clustering. SDM Conference, pp. 606–610, 2005.
-
J. Domingo-Ferrer, and J. M. Mateo-Sanz. Practical data-oriented microaggregation for statistical disclosure control. IEEE Transactions on Knowledge and Data Engi-neering, 14(1), pp. 189–201, 2002.
-
P. Domingos, and M. Pazzani. On the optimality of the simple bayesian classifier under zero-one loss. Machine Learning, 29(2–3), pp. 103–130, 1997.
-
W. Du, and M. Atallah. Secure multi-party computation: A review and open problems. CERIAS Tech. Report, 2001-51, Purdue University, 2001.
-
R. Duda, P. Hart, and D. Stork. Pattern classification. John Wiley and Sons, 2012.
-
C. Dwork. Differential privacy: A survey of results. Theory and Applications of Models of Computation, Springer, pp. 1–19, 2008.
-
C. Dwork. A firm foundation for private data analysis. Communications of the ACM, 54(1), pp. 86–95, 2011.
-
D. Easley, and J. Kleinberg. Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge University Press, 2010.
-
C. Elkan. The foundations of cost-sensitive learning. IJCAI, pp. 973–978, 2001.
-
R. Elmasri, and S. Navathe. Fundamentals of Database Systems. Addison-Wesley, 2010.
-
L. Ertoz, M. Steinbach, and V. Kumar. A new shared nearest neighbor clustering algorithm and its applications. Workshop on Clustering High Dimensional Data and its Applications, pp. 105–115, 2002.
-
P. Erdos, and A. Renyi. On random graphs. Publicationes Mathematicae Debrecen, 6, pp. 290–297, 1959.
706 BIBLIOGRAPHY
-
M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discover-ing clusters in large spatial databases with noise. ACM KDD Conference, pp. 226–231, 1996.
-
M. Ester, H. P. Kriegel, J. Sander, M. Wimmer, and X. Xu. Incremental clustering for mining in a data warehousing environment. VLDB Conference, pp. 323–333, 1998.
-
S. Even, O. Goldreich, and A. Lempel. A randomized protocol for signing contracts. Communications of the ACM, 28(6), pp. 637–647, 1985.
-
A. Evfimievski, R. Srikant, R. Agrawal, and J. Gehrke. Privacy preserving mining of association rules. Information Systems, 29(4), pp. 343–364, 2004.
-
M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the inter-net topology. ACM SIGCOMM Computer Communication Review, pp. 251–262, 1999.
-
C. Faloutsos, and K. I. Lin. Fastmap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. ACM SIGMOD Conference, pp. 163–174, 1995.
-
W. Fan, S. Stolfo, J. Zhang, and P. Chan. AdaCost: Misclassification cost sensitive boosting. ICML Conference, pp. 97–105, 1999.
-
T. Fawcett. ROC Graphs: Notes and Practical Considerations for Researchers. Tech-nical Report HPL-2003-4, Palo Alto, CA, HP Laboratories, 2003.
-
X. Fern, and C. Brodley. Random projection for high dimensional data clustering: A cluster ensemble approach. ICML Conference, pp. 186–193, 2003.
-
C. Fiduccia, and R. Mattheyses. A linear-time heuristic for improving network parti-tions. In IEEE Conference on Design Automation, pp. 175–181, 1982.
-
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugen-ics, 7: pp. 179–188, 1936.
-
P. Flajolet, and G. N. Martin. Probabilistic counting algorithms for data base appli-cations. Journal of Computer and System Sciences, 31(2), pp. 182–209, 1985.
-
G. W. Flake. Square unit augmented, radially extended, multilayer perceptrons. Neu-ral Networks: Tricks of the Trade, pp. 145–163, 1998.
-
F. Fouss, A. Pirotte, J. Renders, and M. Saerens. Random-walk computation of sim-ilarities between nodes of a graph with application to collaborative recommendation.
Dostları ilə paylaş: |