-
1
-
-
38049101419
-
-
Azevedo, P.J.: A data structure to represent association rules based classifiers. Technical report, Universidade do Minho, Departamento de Informática (2005)
-
Azevedo, P.J.: A data structure to represent association rules based classifiers. Technical report, Universidade do Minho, Departamento de Informática (2005)
-
-
-
-
2
-
-
0031161999
-
Beyond market baskets: Generalizing association rules to correlations
-
Peckham, J, ed, ACM Press, New York
-
Brin, S., Motwani, R., Silverstein, C.: Beyond market baskets: Generalizing association rules to correlations. In: Peckham, J. (ed.) SIGMOD Conference, pp. 265-276. ACM Press, New York (1997)
-
(1997)
SIGMOD Conference
, pp. 265-276
-
-
Brin, S.1
Motwani, R.2
Silverstein, C.3
-
3
-
-
0031162961
-
Dynamic itemset counting and implication rules for market basket data
-
Peckham, J, ed, Tucson, Arizona, 13-15 June, ACM Press, New York
-
Brin, S., Motwani, R., Ullman, J.D., Tsur, S.: Dynamic itemset counting and implication rules for market basket data. In: Peckham, J. (ed.) Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data, Tucson, Arizona, 13-15 June 1997, pp. 255-264. ACM Press, New York (1997)
-
(1997)
Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data
, pp. 255-264
-
-
Brin, S.1
Motwani, R.2
Ullman, J.D.3
Tsur, S.4
-
4
-
-
0002593344
-
Multi-interval discretization of continuous-valued attributes for classification learning
-
Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: IJCAI, pp. 1022-1029 (1993)
-
(1993)
IJCAI
, pp. 1022-1029
-
-
Fayyad, U.M.1
Irani, K.B.2
-
5
-
-
33745317786
-
-
Jorge, A., Azevedo, P.J.: An experiment with association rules and classification: Post-bagging and conviction. In: Hoffmann, A., Motoda, H., Scheffer, T. (eds.) DS 2005. LNCS (LNAI), 3735, pp. 137-149. Springer, Heidelberg (2005)
-
Jorge, A., Azevedo, P.J.: An experiment with association rules and classification: Post-bagging and conviction. In: Hoffmann, A., Motoda, H., Scheffer, T. (eds.) DS 2005. LNCS (LNAI), vol. 3735, pp. 137-149. Springer, Heidelberg (2005)
-
-
-
-
6
-
-
78149313084
-
-
Li, W., Han, J., Pei, J.: Cmar: Accurate and efficient classification based on multiple class-association rules. In: Cercone, N., Lin, T.Y., Wu, X. (eds.) ICDM, pp. 369-376. IEEE Computer Society Press, Los Alamitos (2001)
-
Li, W., Han, J., Pei, J.: Cmar: Accurate and efficient classification based on multiple class-association rules. In: Cercone, N., Lin, T.Y., Wu, X. (eds.) ICDM, pp. 369-376. IEEE Computer Society Press, Los Alamitos (2001)
-
-
-
-
7
-
-
84948104699
-
Integrating classification and association rule mining
-
ACM Press, New York
-
Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: KDD '98: Proceedings of the fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 80-86. ACM Press, New York (1998)
-
(1998)
KDD '98: Proceedings of the fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 80-86
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
9
-
-
38049175170
-
-
Piatetsky-Shapiro, G.: Discovery, analysis, and presentation of strong rules. In: Knowledge Discovery in Databases, pp. 229-248. AAAI/MIT Press (1991)
-
Piatetsky-Shapiro, G.: Discovery, analysis, and presentation of strong rules. In: Knowledge Discovery in Databases, pp. 229-248. AAAI/MIT Press (1991)
-
-
-
-
10
-
-
1242308945
-
Selecting the right objective measure for association analysis
-
Tan, P.-N., Kumar, V., Srivastava, J.: Selecting the right objective measure for association analysis. Inf. Syst. 29(4), 293-313 (2004)
-
(2004)
Inf. Syst
, vol.29
, Issue.4
, pp. 293-313
-
-
Tan, P.-N.1
Kumar, V.2
Srivastava, J.3
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