-
2
-
-
0242625291
-
Selecting the right interestingness measure for association patterns
-
Tan, P.N., Kumar, V., Srivastava, J.: Selecting the right interestingness measure for association patterns. In: Proceedings of International Conference on Knowledge Discovery and Data Mining KDD-2002, pp. 32-41 (2002)
-
(2002)
Proceedings of International Conference on Knowledge Discovery and Data Mining
, vol.KDD-2002
, pp. 32-41
-
-
Tan, P.N.1
Kumar, V.2
Srivastava, J.3
-
3
-
-
84947795587
-
An analysis of quantitative measures associated with rules
-
Zhong, N, Zhou, L, eds, PAKDD 1999, Springer, Heidelberg
-
Yao, Y.Y., Zhong, N.: An analysis of quantitative measures associated with rules. In: Zhong, N., Zhou, L. (eds.) PAKDD 1999. LNCS (LNAI), vol. 1574, pp. 479-488. Springer, Heidelberg (1999)
-
(1999)
LNCS (LNAI
, vol.1574
, pp. 479-488
-
-
Yao, Y.Y.1
Zhong, N.2
-
4
-
-
0033207925
-
On rule interestingness measures
-
Freitas, A.A.: On rule interestingness measures. Knowledge-Based Systtems 12(5-6), 309-315 (1999)
-
(1999)
Knowledge-Based Systtems
, vol.12
, Issue.5-6
, pp. 309-315
-
-
Freitas, A.A.1
-
5
-
-
33745295400
-
A clustering of interestingness measures
-
Vaillant, B., Lenca, P., Lallich, S.: A clustering of interestingness measures. In: Proceedings of the Discovery Science 2004, pp. 290-297 (2004)
-
(2004)
Proceedings of the Discovery Science
, pp. 290-297
-
-
Vaillant, B.1
Lenca, P.2
Lallich, S.3
-
6
-
-
33745295653
-
A data analysis approach for evaluating the behavior of interestingness measures
-
Huynh, X.H., Guillet, F., Briand, H.: A data analysis approach for evaluating the behavior of interestingness measures. In: Proceeding of the Discovery Science 2005, pp. 330-337 (2005)
-
(2005)
Proceeding of the Discovery Science
, pp. 330-337
-
-
Huynh, X.H.1
Guillet, F.2
Briand, H.3
-
7
-
-
34548567576
-
Using information-theoretic measures to assess association rule interestingness
-
IEEE Computer Society, Los Alamitos
-
Blanchard, J., Guillet, F., Gras, R., Briand, H.: Using information-theoretic measures to assess association rule interestingness. In: Proceedings of the fifth IEEE International Conference on Data Mining ICDM 2005, pp. 66-73. IEEE Computer Society, Los Alamitos (2005)
-
(2005)
Proceedings of the fifth IEEE International Conference on Data Mining
, vol.ICDM 2005
, pp. 66-73
-
-
Blanchard, J.1
Guillet, F.2
Gras, R.3
Briand, H.4
-
8
-
-
35048892175
-
-
Ohsaki, M., Kitaguchi, S., Kume, S., Yokoi, H., Yamaguchi, T.: Evaluation of rule interestingness measures with a clinical dataset on hepatitis. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS (LNAI), 3202, pp. 362-373. Springer, Heidelberg (2004)
-
Ohsaki, M., Kitaguchi, S., Kume, S., Yokoi, H., Yamaguchi, T.: Evaluation of rule interestingness measures with a clinical dataset on hepatitis. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS (LNAI), vol. 3202, pp. 362-373. Springer, Heidelberg (2004)
-
-
-
-
9
-
-
44649199778
-
-
Explora: A Multipattern and Multistrategy Discovery Assistant. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 249-271. AAAI/MIT Press, California (1996)
-
Explora: A Multipattern and Multistrategy Discovery Assistant. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 249-271. AAAI/MIT Press, California (1996)
-
-
-
-
10
-
-
0013114804
-
Partial classification using association rules
-
Ali, K., Manganaris, S., Srikant, R.: Partial classification using association rules. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining KDD-1997, pp. 115-118 (1997)
-
(1997)
Proceedings of the International Conference on Knowledge Discovery and Data Mining
, vol.KDD-1997
, pp. 115-118
-
-
Ali, K.1
Manganaris, S.2
Srikant, R.3
-
11
-
-
0031162961
-
Dynamic itemset counting and implication rules for market basket data
-
Brin, S., Motwani, R., Ullman, J., Tsur, S.: Dynamic itemset counting and implication rules for market basket data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 255-264 (1997)
-
(1997)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 255-264
-
-
Brin, S.1
Motwani, R.2
Ullman, J.3
Tsur, S.4
-
13
-
-
84958977509
-
CCAIIA: Clustering categorical attributes into interesting association rules
-
Wu, X, Kotagiri, R, Korb, K.B, eds, PAKDD 1998, Springer, Heidelberg
-
Gray, B., Orlowska, M.E.: CCAIIA: Clustering categorical attributes into interesting association rules. In: Wu, X., Kotagiri, R., Korb, K.B. (eds.) PAKDD 1998. LNCS, vol. 1394, pp. 132-143. Springer, Heidelberg (1998)
-
(1998)
LNCS
, vol.1394
, pp. 132-143
-
-
Gray, B.1
Orlowska, M.E.2
-
14
-
-
84961356873
-
Machine learning of credible classifications
-
Hamilton, H. J., Shan, N., Ziarko, W.: Machine learning of credible classifications. In: Australian Conf. on Artificial Intelligence AI-1997, pp. 330-339 (1997)
-
(1997)
Australian Conf. on Artificial Intelligence
, vol.AI-1997
, pp. 330-339
-
-
Hamilton, H.J.1
Shan, N.2
Ziarko, W.3
-
15
-
-
0039443541
-
Measures of association for cross classifications
-
Springer, Heidelberg
-
Goodman, L.A., Kruskal, W.H.: Measures of association for cross classifications. Springer Series in Statistics, vol. 1. Springer, Heidelberg (1979)
-
(1979)
Springer Series in Statistics
, vol.1
-
-
Goodman, L.A.1
Kruskal, W.H.2
-
16
-
-
0002947110
-
Rule induction using information theory
-
PiatetskyShapiro, G, Frawley, W.J, eds, AAAI/MIT Press
-
Smyth, P., Goodman, R.M.: Rule induction using information theory. In: PiatetskyShapiro, G., Frawley, W.J. (eds.) Knowledge Discovery in Databases, pp. 159-176. AAAI/MIT Press (1991)
-
(1991)
Knowledge Discovery in Databases
, pp. 159-176
-
-
Smyth, P.1
Goodman, R.M.2
-
17
-
-
44649117897
-
-
Piatetsky-Shapiro, G.: Discovery, analysis and presentation of strong rules. In: Piatetsky-Shapiro, G., Frawley, W.J. (eds.) Knowledge Discovery in Databases, pp. 229-248. AAAI/MIT Press (1991)
-
Piatetsky-Shapiro, G.: Discovery, analysis and presentation of strong rules. In: Piatetsky-Shapiro, G., Frawley, W.J. (eds.) Knowledge Discovery in Databases, pp. 229-248. AAAI/MIT Press (1991)
-
-
-
-
19
-
-
0041347740
-
Peculiarity oriented multi-database mining
-
Zhong, N., Yao, Y.Y., Ohshima, M.: Peculiarity oriented multi-database mining. IEEE Transactions on Knowledge and Data Engineering 15(4), 952-960 (2003)
-
(2003)
IEEE Transactions on Knowledge and Data Engineering
, vol.15
, Issue.4
, pp. 952-960
-
-
Zhong, N.1
Yao, Y.Y.2
Ohshima, M.3
-
20
-
-
0003408496
-
-
Department of Information and Computer Science. University of California, Irvine
-
Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases, Department of Information and Computer Science. University of California, Irvine (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html
-
(1998)
UCI repository of machine learning databases
-
-
Hettich, S.1
Blake, C.L.2
Merz, C.J.3
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