Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
Cavnar, W. B., and J. M. Trenkle. 1994. N-Gram-based text categorization.Proceed- ings of the Third Symposium on Document Analys ...
Cypher, A., editor. 1993. Watch what I do: Programming by demonstration. Cambridge, MA: MIT Press. Dasgupta, S. 2002. Performanc ...
Drucker, H. 1997. Improving regressors using boosting techniques. In D. H. Fisher, editor,Proceedings of the Fourteenth Internat ...
Fix, E., and J. L. Hodges Jr. 1951. Discriminatory analysis; nonparametric discrim- ination: Consistency properties. Technical R ...
Freund, Y., and L. Mason. 1999. The alternating decision-tree learning algorithm. In I. Bratko and S. Dzeroski, editors,Proceedi ...
Gennari, J. H., P. Langley, and D. Fisher. 1990. Models of incremental concept for- mation.Artificial Intelligence40:11–61. Ghan ...
Hall, M., G. Holmes, and E. Frank. 1999. Generating rule sets from model trees. In N. Y. Foo, editor,Proceedings of the Twelfth ...
Conference on Knowledge Discovery and Data Mining.Montreal, Canada. Menlo Park, CA: AAAI Press, pp. 174–179. ———. 1997.Enhanceme ...
Kohavi, R. 1995a. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the F ...
Kushmerick, N., D. S. Weld, and R. Doorenbos. 1997. Wrapper induction for information extraction. In Proceedings of the Fifteent ...
Mann, T. 1993.Library research models: A guide to classification, cataloging, and com- puters. New York: Oxford University Press ...
Moore, A. W., and M. S. Lee. 1994. Efficient algorithms for minimizing cross vali- dation error. In W. W. Cohen and H. Hirsh, ed ...
Heckerman, H. Mannila, D. Pregibon, and R. Uthurusamy, editors, Proceedings of the Third International Conference on Knowledge D ...
editor,Proceedings of the Fourteenth International Conference on Machine Learning, Nashville, TN. San Francisco: Morgan Kaufmann ...
Stone, P., and M. Veloso. 2000. Multiagent systems: A survey from a machine learn- ing perspective.Autonomous Robots8(3):345–383 ...
Webb, G. I., J. Boughton, and Z. Wang. 2005. Not so Naïve Bayes: Aggregating one- dependence estimators.Machine Learning58(1):5– ...
P088407-REF.qxd 4/30/05 11:24 AM Page 504 ...
A activation function, 234 acuity, 258 AdaBoost, 328 AdaBoost.M1, 321, 416 Add, 395 AddCluster, 396, 397 AddExpression, 397 addi ...
506 INDEX anomaly detection systems, 357 antecedent, of rule, 65 AODE, 405 Apriori, 419 Apriori method, 141 area under the curve ...
INDEX 507 automatic filtering, 315 averaging over subnetworks, 283 axis-parallel class boundaries, 242 B background knowledge, 3 ...
«
19
20
21
22
23
24
25
26
27
28
»
Free download pdf