-
2
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington D.C.
-
Agrawal, R., Imielinski, T., and Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pages 207-216, Washington D.C.
-
(1993)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
3
-
-
26944474957
-
Mining frequent sequential patterns under regular expressions: A highly adaptive strategy for pushing contraints
-
Albert-Lorincz, H. and Boulicaut, J.-F. (2003). Mining frequent sequential patterns under regular expressions: A highly adaptive strategy for pushing contraints. In Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003.
-
(2003)
Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003
-
-
Albert-Lorincz, H.1
Boulicaut, J.-F.2
-
4
-
-
84867817851
-
Mining minimal non-redundant association rules using frequent closed itemsets
-
Proceedings of the first International Conference on Computational Logic
-
Bastide, Y., Pasquier, N., Taouil, R., Stumme, G., and Lakhal, L. (2000). Mining minimal non-redundant association rules using frequent closed itemsets. In Proceedings of the first International Conference on Computational Logic, LNCS 1861, pages 972-986.
-
(2000)
LNCS
, vol.1861
, pp. 972-986
-
-
Bastide, Y.1
Pasquier, N.2
Taouil, R.3
Stumme, G.4
Lakhal, L.5
-
5
-
-
23044517681
-
Constraint-based rule mining in large, dense data-bases
-
Bayardo, R., Agrawal, R., and Gunopulos, D. (2000). Constraint-based rule mining in large, dense data-bases. Data Mining and Knowledge Discovery, 4(2/3):217-240.
-
(2000)
Data Mining and Knowledge Discovery
, vol.4
, Issue.2-3
, pp. 217-240
-
-
Bayardo, R.1
Agrawal, R.2
Gunopulos, D.3
-
7
-
-
77953877386
-
Condensed representations for data mining
-
Idea Group Reference
-
Boulicaut, J. F. (2005). Condensed representations for data mining. In Encyclopedia of Data Warehousing and Mining, pages 207-211. Idea Group Reference.
-
(2005)
Encyclopedia of Data Warehousing and Mining
, pp. 207-211
-
-
Boulicaut, J.F.1
-
9
-
-
35048825491
-
A framework for data mining pattern management
-
Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
-
Catania, B., Maddalena, A., Mazza, M., Bertino, E., and Rizzi, S. (2004). A framework for data mining pattern management. In Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, LNCS 3202, pages 87-98.
-
(2004)
LNCS
, vol.3202
, pp. 87-98
-
-
Catania, B.1
Maddalena, A.2
Mazza, M.3
Bertino, E.4
Rizzi, S.5
-
10
-
-
0033207925
-
On rule interestingness measures
-
Freitas, A. A. (1999). On rule interestingness measures. Knowledge-Based Systems, 12(5-6):309-315.
-
(1999)
Knowledge-Based Systems
, vol.12
, Issue.5-6
, pp. 309-315
-
-
Freitas, A.A.1
-
11
-
-
0036565016
-
Mining Sequential Patterns with Regular expression constraints
-
DOI 10.1109/TKDE.2002.1000341
-
Garofalakis, M. N., Rastogi, R., and Shim, K. (2002). Mining sequential patterns with regular expression constraints. IEEE Transactions on Knowledge and Data Engineering, 14(3):530-552. (Pubitemid 34669616)
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.3
, pp. 530-552
-
-
Garofalakis, M.1
Rastogi, R.2
Shim, K.3
-
12
-
-
84880091428
-
Mining non-derivable association rules
-
Goethals, B., Muhonen, J., and Toivonen, H. (2005). Mining non-derivable association rules. In Proceedings of the fifth SIAM International Conference on Data Mining, Newport Beach, California, USA, April 21-23.
-
(2005)
Proceedings of the Fifth SIAM International Conference on Data Mining, Newport Beach, California, USA, April 21-23
-
-
Goethals, B.1
Muhonen, J.2
Toivonen, H.3
-
13
-
-
0032657921
-
The management and mining of multiple predictive models using the predictive model markup language (PMML)
-
Grossman, R. L., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I., and Qin, X. (1999). The management and mining of multiple predictive models using the predictive model markup language (PMML). In Information and Software Technology, volume 41, pages 589-595.
-
(1999)
Information and Software Technology
, vol.41
, pp. 589-595
-
-
Grossman, R.L.1
Bailey, S.2
Ramu, A.3
Malhi, B.4
Hallstrom, P.5
Pulleyn, I.6
Qin, X.7
-
14
-
-
2942627718
-
Basic association rules
-
SIAM
-
Li, G. and Hamilton, H. (2004). Basic association rules. In Proceedings of the fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24. SIAM.
-
(2004)
Proceedings of the Fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24
-
-
Li, G.1
Hamilton, H.2
-
15
-
-
9744261781
-
Extracting minimal non-redundant association rules from QCIL
-
IEEE Computer Society
-
Li, Y., Liu, Z. T., Chen, L., Cheng, W., and Xie, C. H. (2004). Extracting minimal non-redundant association rules from QCIL. In International Conference on Computer and Information Technology, pages 986-991. IEEE Computer Society.
-
(2004)
International Conference on Computer and Information Technology
, pp. 986-991
-
-
Li, Y.1
Liu, Z.T.2
Chen, L.3
Cheng, W.4
Xie, C.H.5
-
16
-
-
0042433936
-
Finding association rules using fast bit computation: Machine-oriented modeling
-
Proceedings of the 12th International Symposium on Methodologies for Intelligent Systems, Springer
-
Louie, E. and Lin, T. Y. (2000). Finding association rules using fast bit computation: Machine-oriented modeling. In Proceedings of the 12th International Symposium on Methodologies for Intelligent Systems, LNCS 1932, pages 486-494. Springer.
-
(2000)
LNCS
, vol.1932
, pp. 486-494
-
-
Louie, E.1
Lin, T.Y.2
-
17
-
-
2442575959
-
Optimizing subset queries: A step towards sql-based inductive databases for itemsets
-
ACM Press
-
Masson, C., Robardet, C., and Boulicaut, J. F. (2004). Optimizing subset queries: a step towards sql-based inductive databases for itemsets. In Proceedings of the 2004 ACM symposium on Applied computing (SAC'04), pages 535-539. ACM Press.
-
(2004)
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC'04)
, pp. 535-539
-
-
Masson, C.1
Robardet, C.2
Boulicaut, J.F.3
-
19
-
-
17444386019
-
Generating a condensed representation for association rules
-
DOI 10.1007/s10844-005-0266-z
-
Pasquier, N., Taouil, R., Bastide, Y., Stumme, G., and Lakhal, L. (2005). Generating a condensed representation for association rules. Journal of Intelligent Information Systems, 24(1):29-60. (Pubitemid 40536188)
-
(2005)
Journal of Intelligent Information Systems
, vol.24
, Issue.1
, pp. 29-60
-
-
Pasquier, N.1
Taouil, R.2
Bastide, Y.3
Stumme, G.4
Lakhal, L.5
-
22
-
-
2442446148
-
BIDE: Efficient mining of frequent closed sequences
-
Wang, J. and Han, J. (2004). BIDE: Efficient mining of frequent closed sequences. In Proceedings of the 20th International Conference on Data Engineering, ICDE 2004, 30 March - 2 April 2004, Boston, MA, USA, pages 79-90.
-
(2004)
Proceedings of the 20th International Conference on Data Engineering, ICDE 2004, 30 March - 2 April 2004, Boston, MA, USA
, pp. 79-90
-
-
Wang, J.1
Han, J.2
-
23
-
-
19944376126
-
TFP: An efficient algorithm for mining top-k frequent closed itemsets
-
DOI 10.1109/TKDE.2005.81
-
Wang, J., Han, J., Lu, Y., and Tzvetkov, P. (2005). TFP: An efficient algorithm for mining top-k frequent closed itemsets. IEEE Transactions on Knowledge and Data Engineering, 17(5):652-664. (Pubitemid 40750824)
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.5
, pp. 652-664
-
-
Wang, J.1
Han, J.2
Lu, Y.3
Tzvetkov, P.4
-
24
-
-
0034592942
-
Generating non-redundant association rules
-
Zaki, M. J. (2000). Generating non-redundant association rules. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2000, Boston, MA, USA, pages 34-43.
-
(2000)
Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2000, Boston, MA, USA
, pp. 34-43
-
-
Zaki, M.J.1
-
25
-
-
0034826102
-
SPADE: An efficient algorithm for mining frequent sequences
-
DOI 10.1023/A:1007652502315
-
Zaki, M. J. (2001). SPADE: An efficient algorithm for mining frequent sequences. Machine Learning, 42(1/2):31-60. (Pubitemid 32872398)
-
(2001)
Machine Learning
, vol.42
, Issue.1-2
, pp. 31-60
-
-
Zaki, M.J.1
-
26
-
-
4444337294
-
Mining non-redundant association rules
-
Zaki, M. J. (2004). Mining non-redundant association rules. Data Mining and Knowledge Discovery, 9(3):223-248.
-
(2004)
Data Mining and Knowledge Discovery
, vol.9
, Issue.3
, pp. 223-248
-
-
Zaki, M.J.1
-
27
-
-
17044438212
-
Efficient algorithms for mining closed itemsets and their lattice structure
-
DOI 10.1109/TKDE.2005.60
-
Zaki, M. J. and Hsiao, C. (2005). Efficient algorithms for mining closed itemsets and their lattice structure. IEEE Transactions on Knowledge and Data Engineering, 17(4):462-478. (Pubitemid 40495590)
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.4
, pp. 462-478
-
-
Zaki, M.J.1
Hsiao, C.-J.2
-
28
-
-
26844570289
-
Towards generic pattern mining
-
Zaki, M. J., Parimi, N., De, N., Gao, F., Phoophakdee, B., Urban, J., Chaoji, V., Hasan, M. A., and Salem, S. (2005). Towards generic pattern mining. In Proceedings of the Third International Conference on Formal Concept Analysis, pages 1-20.
-
(2005)
Proceedings of the Third International Conference on Formal Concept Analysis
, pp. 1-20
-
-
Zaki, M.J.1
Parimi, N.2
De, N.3
Gao, F.4
Phoophakdee, B.5
Urban, J.6
Chaoji, V.7
Hasan, M.A.8
Salem, S.9
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