-
1
-
-
0027621699
-
-
R. Agrawal, T. Imielinski, A. Swami, Mining associations between sets of items in massive databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (SIGMOD'93), Washington, DC, 1993, pp. 207-216.
-
R. Agrawal, T. Imielinski, A. Swami, Mining associations between sets of items in massive databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (SIGMOD'93), Washington, DC, 1993, pp. 207-216.
-
-
-
-
2
-
-
48649108373
-
-
R. Agrawal, R. Srikant, Fast algorithms for mining association rules in large databases, in: Proceedings of the 20th International Conference on Very Large Data Bases (VLDB'94), Chile, 1994, pp. 487-499.
-
R. Agrawal, R. Srikant, Fast algorithms for mining association rules in large databases, in: Proceedings of the 20th International Conference on Very Large Data Bases (VLDB'94), Chile, 1994, pp. 487-499.
-
-
-
-
3
-
-
0029212693
-
-
R. Agrawal, R. Srikant, Mining sequential patterns, in: Proceedings of the Eleventh International Conference on Data Engineering (ICDE'95), Taipei, 1995, pp. 3-14.
-
R. Agrawal, R. Srikant, Mining sequential patterns, in: Proceedings of the Eleventh International Conference on Data Engineering (ICDE'95), Taipei, 1995, pp. 3-14.
-
-
-
-
5
-
-
0037364958
-
Complete mining of frequent patterns from graphs: mining graph data
-
Inokuchi A., Washio T., and Motoda H. Complete mining of frequent patterns from graphs: mining graph data. Machine Learning 50 3 (2003) 321-354
-
(2003)
Machine Learning
, vol.50
, Issue.3
, pp. 321-354
-
-
Inokuchi, A.1
Washio, T.2
Motoda, H.3
-
6
-
-
85198669876
-
-
J.S. Park, M.S. Chen, P.S. Yu, An efficient hash-based algorithm for mining association rules, in: Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data (SIGMOD'95), San Jose, California, 1995, pp. 175-186.
-
J.S. Park, M.S. Chen, P.S. Yu, An efficient hash-based algorithm for mining association rules, in: Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data (SIGMOD'95), San Jose, California, 1995, pp. 175-186.
-
-
-
-
7
-
-
48649099787
-
-
A. Savasere, E. Omiecinski, S.B. Navathe, An efficient algorithm for mining association rules in large databases, in: Proceedings of 21th International Conference on Very Large Data Bases (VLDB'95), Zurich, 1995, pp. 432-444.
-
A. Savasere, E. Omiecinski, S.B. Navathe, An efficient algorithm for mining association rules in large databases, in: Proceedings of 21th International Conference on Very Large Data Bases (VLDB'95), Zurich, 1995, pp. 432-444.
-
-
-
-
8
-
-
48649102470
-
-
H. Toivonen, Sampling large databases for association rules, in: Proceedings of 22th International Conference on Very Large Data Bases (VLDB'96), Bombay, India, 1996, pp. 134-145.
-
H. Toivonen, Sampling large databases for association rules, in: Proceedings of 22th International Conference on Very Large Data Bases (VLDB'96), Bombay, India, 1996, pp. 134-145.
-
-
-
-
9
-
-
0031162961
-
-
S. Brin, R. Motwani, J.D. Ullman, S. Tsur, Dynamic itemset counting and implication rules for market basket data, in: Proceedings ACM SIGMOD International Conference on Management of Data (SIGMOD'97), Tucson, Arizona, 1997, pp. 255-264.
-
S. Brin, R. Motwani, J.D. Ullman, S. Tsur, Dynamic itemset counting and implication rules for market basket data, in: Proceedings ACM SIGMOD International Conference on Management of Data (SIGMOD'97), Tucson, Arizona, 1997, pp. 255-264.
-
-
-
-
10
-
-
0037338989
-
Continuous and incremental data mining association rules using frame metadata model
-
Fong J., Wong H.K., and Huang S.M. Continuous and incremental data mining association rules using frame metadata model. Knowledge Based Systems 16 2 (2003) 91-100
-
(2003)
Knowledge Based Systems
, vol.16
, Issue.2
, pp. 91-100
-
-
Fong, J.1
Wong, H.K.2
Huang, S.M.3
-
11
-
-
0032094477
-
-
S. Sarawagi, S. Thomas, R. Agrawal, Integrating mining with relational database systems: alternatives and implications, in: Proceedings ACM SIGMOD International Conference on Management of Data (SIGMOD'98), Seattle, Washington, 1998, pp. 343-354.
-
S. Sarawagi, S. Thomas, R. Agrawal, Integrating mining with relational database systems: alternatives and implications, in: Proceedings ACM SIGMOD International Conference on Management of Data (SIGMOD'98), Seattle, Washington, 1998, pp. 343-354.
-
-
-
-
12
-
-
84958759493
-
-
S. Orlando, P. Palmerini, R. Perego, Enhancing the Apriori algorithm for frequent set counting, in: Proceedings of Third International Conference on Data Warehousing and Knowledge Discovery (DaWak'01), Munich, 2001, pp. 71-82.
-
S. Orlando, P. Palmerini, R. Perego, Enhancing the Apriori algorithm for frequent set counting, in: Proceedings of Third International Conference on Data Warehousing and Knowledge Discovery (DaWak'01), Munich, 2001, pp. 71-82.
-
-
-
-
13
-
-
15544363947
-
CBAR: an efficient method for mining association rules
-
Tsay Y.J., and Chiang J.Y. CBAR: an efficient method for mining association rules. Knowledge Based Systems 18 2-3 (2005) 99-105
-
(2005)
Knowledge Based Systems
, vol.18
, Issue.2-3
, pp. 99-105
-
-
Tsay, Y.J.1
Chiang, J.Y.2
-
14
-
-
0039253846
-
-
J. Han, J. Pei, Y. Yin, Mining frequent patterns without candidate generation, in: Proceedings of the 2000 ACM-SIGMOD International Conference on Management of Data (SIGMOD'00), Dallas, Texas, 2000, pp. 1-12.
-
J. Han, J. Pei, Y. Yin, Mining frequent patterns without candidate generation, in: Proceedings of the 2000 ACM-SIGMOD International Conference on Management of Data (SIGMOD'00), Dallas, Texas, 2000, pp. 1-12.
-
-
-
-
15
-
-
78149320187
-
-
J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, D. Yang, H-Mine: hyper-structure mining of frequent patterns in large databases, in: Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM'01), San Jose, CA, 2001, pp. 441-448.
-
J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, D. Yang, H-Mine: hyper-structure mining of frequent patterns in large databases, in: Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM'01), San Jose, CA, 2001, pp. 441-448.
-
-
-
-
16
-
-
33751160855
-
Efficient mining of frequent patterns using ascending frequency ordered prefix-tree
-
Liu G., Lu H., Lou W., Xu Y., and Yu J.X. Efficient mining of frequent patterns using ascending frequency ordered prefix-tree. Data Mining Knowledge Discovery 9 3 (2004) 249-274
-
(2004)
Data Mining Knowledge Discovery
, vol.9
, Issue.3
, pp. 249-274
-
-
Liu, G.1
Lu, H.2
Lou, W.3
Xu, Y.4
Yu, J.X.5
-
19
-
-
6344277753
-
-
M.J. Zaki, K. Gouda, Fast vertical mining using diffsets, in: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, 2003, pp. 326-335.
-
M.J. Zaki, K. Gouda, Fast vertical mining using diffsets, in: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, 2003, pp. 326-335.
-
-
-
-
20
-
-
34047267825
-
BitTableFI: an efficient mining frequent itemsets algorithm
-
Dong J., and Han M. BitTableFI: an efficient mining frequent itemsets algorithm. Knowledge Based Systems 20 4 (2007) 329-335
-
(2007)
Knowledge Based Systems
, vol.20
, Issue.4
, pp. 329-335
-
-
Dong, J.1
Han, M.2
-
21
-
-
48649096667
-
-
B. Goethals, M.J. Zaki, Advances in frequent itemset mining implementations introduction to FIMI03, in: Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations (FIMI'03), 2003.
-
B. Goethals, M.J. Zaki, Advances in frequent itemset mining implementations introduction to FIMI03, in: Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations (FIMI'03), 2003.
-
-
-
-
22
-
-
33846239457
-
Mining lossless closed frequent patterns with weight constraints
-
Yun U. Mining lossless closed frequent patterns with weight constraints. Knowledge Based Systems 20 1 (2007) 86-97
-
(2007)
Knowledge Based Systems
, vol.20
, Issue.1
, pp. 86-97
-
-
Yun, U.1
-
24
-
-
33745443433
-
-
J. Liu, S. Paulsen, X. Sun, W. Wang, A.B. Nobel, J. Prins, Mining approximate frequent itemsets in the presence of noise: algorithm and analysis, in: Proceedings of 2006 SIAM International Conference on Data Mining (SDM'06), Bethesda, MD, 2006, pp. 405-416.
-
J. Liu, S. Paulsen, X. Sun, W. Wang, A.B. Nobel, J. Prins, Mining approximate frequent itemsets in the presence of noise: algorithm and analysis, in: Proceedings of 2006 SIAM International Conference on Data Mining (SDM'06), Bethesda, MD, 2006, pp. 405-416.
-
-
-
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