-
1
-
-
0002221136
-
Fast algorithm for mining association crules in large databases
-
Agrawal, R., Srikant, R.: Fast algorithm for mining association rules in large databases. In: VLDB, pp. 487-499 (1994)
-
(1994)
VLDB
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
2
-
-
0012960250
-
A statistical theory for quantitative association rules
-
Aumann, Y., Lindell, Y.: A statistical theory for quantitative association rules. In: ACM SIGKDD, pp. 261-270 (1999)
-
(1999)
ACM SIGKDD
, pp. 261-270
-
-
Aumann, Y.1
Lindell, Y.2
-
5
-
-
0003343155
-
Discovery of Multiple-Level Association Rules from Large Databases
-
Han, J., Fu, Y.: Discovery of multiple-level association rules from large databases. In: VLDB, pp. 420-431 (1995)
-
(1995)
VLDB
, pp. 420-431
-
-
Han, J.1
Fu, Y.2
-
6
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. In: ACM SIGMOD, pp. 1-12 (2000)
-
(2000)
ACM SIGMOD
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
7
-
-
33745443433
-
Mining approximate frequent itemsets in the presence of noise
-
Liu, J., Paulsen, S., Sun, X., Wang, W., Nobel, A., Prins, J.: Mining approximate frequent itemsets in the presence of noise. In: SIAM international conference on data mining (2006)
-
(2006)
SIAM international conference on data mining
-
-
Liu, J.1
Paulsen, S.2
Sun, X.3
Wang, W.4
Nobel, A.5
Prins, J.6
-
9
-
-
77952367051
-
Carpenter: Finding closed patterns in long biological datasets
-
Pan, F., Cong, G., Tung, A.K.H., Yang, J., Zaki, M.: Carpenter: Finding closed patterns in long biological datasets. In: ACM SIGKDD, pp. 637-646 (2003)
-
(2003)
ACM SIGKDD
, pp. 637-646
-
-
Pan, F.1
Cong, G.2
Tung, A.K.H.3
Yang, J.4
Zaki, M.5
-
10
-
-
0035016447
-
Mining frequent itemsets with convertible constraints
-
Pei, J., Han, J., Lakshmanan, L.V.S.: Mining frequent itemsets with convertible constraints. In: ICDE, pp. 433-442 (2001) (Pubitemid 32457145)
-
(2001)
Proceedings - International Conference on Data Engineering
, pp. 433-442
-
-
Pei, J.1
Han, J.2
Lakshmanan, L.V.S.3
-
11
-
-
13844256245
-
Mining sequential patterns by pattern-growth: The prefixspan approach
-
DOI 10.1109/TKDE.2004.77
-
Pei, J., Han, J., Mortazavi-Asl, B., Wang, J., Pinto, H., Chen, Q., Dayal, U., Hsu, M.-C.: Mining sequential patterns by pattern-growth: the pre.xspan approach. In: Transactions on Knowledge Data Engineering, pp. 1424-1440 (2004) (Pubitemid 40242330)
-
(2004)
IEEE Transactions on Knowledge and Data Engineering
, vol.16
, Issue.11
, pp. 1424-1440
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Wang, J.4
Pinto, H.5
Chen, Q.6
Dayal, U.7
Hsu, M.-C.8
-
13
-
-
84897708583
-
Mining sequential patterns
-
In: Apers, Bouzeghoub P.M.G., Gardarin M., G. (eds.) Springer, Heidelberg
-
Srikant, R., Agrawal, R.: Mining sequential patterns: generalizations and performance improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 3-17. Springer, Heidelberg (1996)
-
(1996)
Generalizations and Performance Improvements EDBT 1996. LNCS
, vol.1057
, pp. 3-17
-
-
Srikant, R.1
Agrawal, R.2
-
14
-
-
12244294068
-
On the discovery of significant statistical quantitative rules
-
KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Zhang, H., Padmanabhan, B., Tuzhilin, A.: On the discovery of signi.cant statistical quantitative rules. In: SIGKDD, pp. 374-383 (2004) (Pubitemid 40114947)
-
(2004)
KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 374-383
-
-
Zhang, H.1
Padmanabhan, B.2
Tuzhilin, A.3
-
15
-
-
34548760779
-
Mining colossal frequent patterns by core pattern fusion
-
DOI 10.1109/ICDE.2007.367916, 4221719, 23rd International Conference on Data Engineering, ICDE 2007
-
Zhu, F., Yan, X., Han, J., Yu, P.S., Cheng, H.: Mining colossal frequent patterns by core pattern fusion. In: ICDE, pp. 706-715 (2007) (Pubitemid 47422074)
-
(2007)
Proceedings - International Conference on Data Engineering
, pp. 706-715
-
-
Zhu, F.1
Yan, X.2
Han, J.3
Yu, P.S.4
Cheng, H.5
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