-
1
-
-
0002227089
-
An interval classifier for database mining applications
-
Agrawal, R., Ghosh, S., Imielinski, T., Iyer, B., and Swami, A. An interval classifier for database mining applications. In Proc. of the 18th VLDB Conference, pp. 560-573, 1992.
-
(1992)
Proc. of the 18th VLDB Conference
, pp. 560-573
-
-
Agrawal, R.1
Ghosh, S.2
Imielinski, T.3
Iyer, B.4
Swami, A.5
-
2
-
-
0027883358
-
Database mining: A performance perspective
-
Agrawal, R., Imielinski, T., and Swami, A. Database mining: a performance perspective. IEEE Transactions on Knowledge and Data Engineering, 5(6): 914-925, 1993.
-
(1993)
IEEE Transactions on Knowledge and Data Engineering
, vol.5
, Issue.6
, pp. 914-925
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
3
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Agrawal, R., Imielinski, T., and Swami, A. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference, pp. 207-216, 1993.
-
(1993)
Proceedings of the ACM SIGMOD Conference
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
4
-
-
0003408496
-
-
Irvine, CA: University of California, Department of Information and Computer Science
-
Blake, C. L. and Merz, C. J. UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science, 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
5
-
-
0031161999
-
Beyond market baskets: Generalizing association rules to correlations
-
Brin, S., Motwani, R., and Silverstein, C. Beyond market baskets: generalizing association rules to correlations. In Proc. of the ACM SIGMOD Conference, pp. 265-276, 1997.
-
(1997)
Proc. of the ACM SIGMOD Conference
, pp. 265-276
-
-
Brin, S.1
Motwani, R.2
Silverstein, C.3
-
6
-
-
34249966007
-
The CN2 induction algorithm
-
Clark, P. and Niblett, T. The CN2 induction algorithm. Machine Learning, 3: 261-283, 1989.
-
(1989)
Machine Learning
, vol.3
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
7
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
Domingos, P., and Pazzani, M. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29: 103-130, 1997.
-
(1997)
Machine Learning
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
9
-
-
0002900357
-
The case against accuracy estimation for comparing induction algorithms
-
Foster, T., Kohavi, R., and Provost, F. The case against accuracy estimation for comparing induction algorithms. In Proceedings of the 15th International Conference on Machine Learning, pp. 445-453, 1998.
-
(1998)
Proceedings of the 15th International Conference on Machine Learning
, pp. 445-453
-
-
Foster, T.1
Kohavi, R.2
Provost, F.3
-
10
-
-
0031276011
-
Bayesian network classifiers
-
Friedman, N., Geiger, D. and Goldszmidt, M. Bayesian network classifiers. Machine Learning, 29: 131-163, 1997.
-
(1997)
Machine Learning
, vol.29
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
11
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
Holte, R. C. Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11: 63-91, 1993.
-
(1993)
Machine Learning
, vol.11
, pp. 63-91
-
-
Holte, R.C.1
-
12
-
-
0036505670
-
A comparison of methods for multi-class support vector machines
-
Hsu, C. and Lin, C. A comparison of methods for multi-class Support Vector Machines. IEEE Transactions On Neural Networks, 13(2): 415-425, 2002.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.1
Lin, C.2
-
14
-
-
58049214908
-
Bayesian information retrieval: Preliminary evaluation
-
Keim, M., and Lewis., D. D., and Madigan, D. Bayesian information retrieval: preliminary evaluation. In Preliminary Papers of the 6th International Workshop on Artificial Intelligence and Statistics, pp. 303-310, 1997.
-
(1997)
Preliminary Papers of the 6th International Workshop on Artificial Intelligence and Statistics
, pp. 303-310
-
-
Keim, M.1
Lewis, D.D.2
Madigan, D.3
-
15
-
-
0041491595
-
Improving simple bayes
-
Kohavi, R., Becker, B., and Sommerfield, D. Improving simple Bayes. In Proceedings of the 9th European Conference on Machine Learning, pp. 78-87, 1997.
-
(1997)
Proceedings of the 9th European Conference on Machine Learning
, pp. 78-87
-
-
Kohavi, R.1
Becker, B.2
Sommerfield, D.3
-
22
-
-
84974698754
-
A study on the performance of large bayes classifier
-
Meretakis, D., Hongjun, L. & Wuthrich, B. A Study on the performance of Large Bayes Classifier. In Proceedings of the 11th European Conference on Machine Learning, pp. 271-279, 2000.
-
(2000)
Proceedings of the 11th European Conference on Machine Learning
, pp. 271-279
-
-
Meretakis, D.1
Hongjun, L.2
Wuthrich, B.3
-
26
-
-
33744584654
-
Induction of decision trees
-
Quinlan, J. R. Induction of decision trees. Machine Learning, 1: 81-106, 1986.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
28
-
-
84999480178
-
Towards a better understanding of memory-based reasoning systems
-
Rachlin, J., Kasif, S., Salzberg, S., and Aha, D.W. Towards a better understanding of memory-based reasoning systems. In Proceedings of the 11th International Conference on Machine Learning, pp. 242-250, 1994.
-
(1994)
Proceedings of the 11th International Conference on Machine Learning
, pp. 242-250
-
-
Rachlin, J.1
Kasif, S.2
Salzberg, S.3
Aha, D.W.4
-
29
-
-
1942484786
-
Tackling the poor assumptions of naïve bayes text classifiers
-
Rennie, J. D., Shih, L., Teevan, J., and Karger, D. R. Tackling the poor assumptions of Naïve Bayes text classifiers. In Proceedings of the 20th International Conference on Machine Learning, pp. 616-623, 2003.
-
(2003)
Proceedings of the 20th International Conference on Machine Learning
, pp. 616-623
-
-
Rennie, J.D.1
Shih, L.2
Teevan, J.3
Karger, D.R.4
|