-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington, D.C, ACM Press
-
R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pages 207-216, Washington, D.C., 1993. ACM Press.
-
(1993)
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.N.3
-
4
-
-
84867817851
-
Mining minimal non-redundant association rules using frequent closed itemsets
-
London, UK
-
Y. Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Mining minimal non-redundant association rules using frequent closed itemsets. In Proceedings of the First International Conference on Computational Logic, pages 972-986, London, UK.
-
Proceedings of the First International Conference on Computational Logic
, pp. 972-986
-
-
Bastide, Y.1
Pasquier, N.2
Taouil, R.3
Stumme, G.4
Lakhal, L.5
-
5
-
-
34548741255
-
Discriminative frequent pattern analysis for effective classification
-
Istanbul, Turkey, IEEE
-
H. Cheng, X. Yan, J. Han, and C.-W. Hsu. Discriminative frequent pattern analysis for effective classification. In Proceedings of the 23rd International Conference on Data Engineering, pages 716-725, Istanbul, Turkey, 2007. IEEE.
-
(2007)
Proceedings of the 23rd International Conference on Data Engineering
, pp. 716-725
-
-
Cheng, H.1
Yan, X.2
Han, J.3
Hsu, C.-W.4
-
6
-
-
52649163329
-
Direct discriminative pattern mining for effective classification
-
Cancún, México, IEEE
-
H. Cheng, X. Yan, J. Han, and P. S. Yu. Direct discriminative pattern mining for effective classification. In Proceedings of the 24th International Conference on Data Engineering, pages 169-178, Cancún, México, 2008. IEEE.
-
(2008)
Proceedings of the 24th International Conference on Data Engineering
, pp. 169-178
-
-
Cheng, H.1
Yan, X.2
Han, J.3
Yu, P.S.4
-
7
-
-
33749322733
-
Catch the moment: Maintaining closed frequent itemsets over a data stream sliding window
-
Y. Chi, H. Wang, P. S. Yu, and R. R. Muntz. Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst., 10(3):265-294, 2006.
-
(2006)
Knowl. Inf. Syst
, vol.10
, Issue.3
, pp. 265-294
-
-
Chi, Y.1
Wang, H.2
Yu, P.S.3
Muntz, R.R.4
-
8
-
-
29844457781
-
Mining top-k covering rule groups for gene expression data
-
Baltimore, Maryland, USA, ACM
-
G. Cong, K.-L. Tan, A. K. H. Tung, and X. Xu. Mining top-k covering rule groups for gene expression data. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pages 670-681, Baltimore, Maryland, USA, 2005. ACM.
-
(2005)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 670-681
-
-
Cong, G.1
Tan, K.-L.2
Tung, A.K.H.3
Xu, X.4
-
10
-
-
57349176926
-
Efficient mining of frequent sequence generators
-
Beijing, China, ACM
-
C. Gao, J. Wang, Y. He, and L. Zhou. Efficient mining of frequent sequence generators. In Proceedings of the 17th International Conference on World Wide Web, pages 1051-1052, Beijing, China, 2008. ACM.
-
(2008)
Proceedings of the 17th International Conference on World Wide Web
, pp. 1051-1052
-
-
Gao, C.1
Wang, J.2
He, Y.3
Zhou, L.4
-
11
-
-
22944455408
-
Efficiently using prefix-trees in mining frequent itemsets
-
Melbourne, Florida, USA, CEUR-WS.org
-
G. Grahne and J. Zhu. Efficiently using prefix-trees in mining frequent itemsets. In Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, Melbourne, Florida, USA, 2003. CEUR-WS.org.
-
(2003)
Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations
-
-
Grahne, G.1
Zhu, J.2
-
12
-
-
2442449952
-
Mining frequent patterns without candidate generation: A frequent-pattern tree approach
-
J. Han, J. Pei, Y. Yin, and R. Mao. Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Min. Knowl. Discov., 8(1):53-87, 2004.
-
(2004)
Data Min. Knowl. Discov
, vol.8
, Issue.1
, pp. 53-87
-
-
Han, J.1
Pei, J.2
Yin, Y.3
Mao, R.4
-
13
-
-
33749554404
-
Cfi-stream: Mining closed frequent itemsets in data streams
-
Philadelphia, PA, USA, ACM
-
N. Jiang and L. Gruenwald. Cfi-stream: mining closed frequent itemsets in data streams. In Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 592-597, Philadelphia, PA, USA, 2006. ACM.
-
(2006)
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 592-597
-
-
Jiang, N.1
Gruenwald, L.2
-
14
-
-
85053374465
-
Making use of the most expressive jumping emerging patterns for classification
-
J. Li, G. Dong, and K. Ramamohanarao. Making use of the most expressive jumping emerging patterns for classification. Knowl. Inf. Syst., 3(2):131-145, 2001.
-
(2001)
Knowl. Inf. Syst
, vol.3
, Issue.2
, pp. 131-145
-
-
Li, J.1
Dong, G.2
Ramamohanarao, K.3
-
15
-
-
33750743089
-
Minimum description length principle: Generators are preferable to closed patterns
-
Boston, Massachusetts, USA, AAAI Press
-
J. Li, H. Li, L. Wong, J. Pei, and G. Dong. Minimum description length principle: Generators are preferable to closed patterns. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, Boston, Massachusetts, USA, 2006. AAAI Press.
-
(2006)
Proceedings of the Twenty-First National Conference on Artificial Intelligence
-
-
Li, J.1
Li, H.2
Wong, L.3
Pei, J.4
Dong, G.5
-
16
-
-
36849044170
-
Mining statistically important equivalence classes and delta-discriminative emerging patterns
-
San Jose, California, USA
-
J. Li, G. Liu, and L. Wong. Mining statistically important equivalence classes and delta-discriminative emerging patterns. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 430-439, San Jose, California, USA, 2007.
-
(2007)
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 430-439
-
-
Li, J.1
Liu, G.2
Wong, L.3
-
17
-
-
78149313084
-
Cmar: Accurate and efficient classification based on multiple class-association rules
-
San Jose, California, USA, IEEE Computer Society
-
W. Li, J. Han, and J. Pei. Cmar: Accurate and efficient classification based on multiple class-association rules. In Proceedings of the 2001 IEEE International Conference on Data Mining, pages 369-376, San Jose, California, USA, 2001. IEEE Computer Society.
-
(2001)
Proceedings of the 2001 IEEE International Conference on Data Mining
, pp. 369-376
-
-
Li, W.1
Han, J.2
Pei, J.3
-
19
-
-
36849025073
-
On computing, storing and querying frequent patterns
-
Washington, DC, USA, ACM
-
G. Liu, H. Lu, W. Lou, and J. X. Yu. On computing, storing and querying frequent patterns. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 607-612, Washington, DC, USA, 2003. ACM.
-
(2003)
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 607-612
-
-
Liu, G.1
Lu, H.2
Lou, W.3
Yu, J.X.4
-
20
-
-
84911977993
-
Discovering frequent closed itemsets for association rules
-
Jerusalem, Israel, Springer
-
N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal. Discovering frequent closed itemsets for association rules. In Proceedings of the 7th International Conference on Database Theory, pages 398-416, Jerusalem, Israel, 1999. Springer.
-
(1999)
Proceedings of the 7th International Conference on Database Theory
, pp. 398-416
-
-
Pasquier, N.1
Bastide, Y.2
Taouil, R.3
Lakhal, L.4
-
22
-
-
8844252892
-
Foil: A midterm report
-
Vienna, Austria, Springer
-
J. R. Quinlan and R. M. Cameron-Jones. Foil: A midterm report. In Machine Learning: ECML-93, European Conference on Machine Learning, pages 3-20, Vienna, Austria, 1993. Springer.
-
(1993)
Machine Learning: ECML-93, European Conference on Machine Learning
, pp. 3-20
-
-
Quinlan, J.R.1
Cameron-Jones, R.M.2
-
23
-
-
74549147938
-
-
A. Veloso, W. M. Jr., M. de Carvalho, B. Pôssas, S. Parthasarathy, and M. J. Zaki. Mining frequent itemsets in evolving databases. In Proceedings of the 2002 SIAM International Conference on Data Mining, Arlington, VA, USA, 2002. SIAM.
-
A. Veloso, W. M. Jr., M. de Carvalho, B. Pôssas, S. Parthasarathy, and M. J. Zaki. Mining frequent itemsets in evolving databases. In Proceedings of the 2002 SIAM International Conference on Data Mining, Arlington, VA, USA, 2002. SIAM.
-
-
-
-
24
-
-
84878058142
-
-
A. Veloso, W. M. Jr., and M. J. Zaki. Lazy associative classification. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), pages 645-654, Hong Kong, China, 2006. IEEE Computer Society.
-
A. Veloso, W. M. Jr., and M. J. Zaki. Lazy associative classification. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), pages 645-654, Hong Kong, China, 2006. IEEE Computer Society.
-
-
-
-
25
-
-
77952363125
-
Closet+: Searching for the best strategies for mining frequent closed itemsets
-
Washington, DC, USA, ACM
-
J. Wang, J. Han, and J. Pei. Closet+: searching for the best strategies for mining frequent closed itemsets. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 236-245, Washington, DC, USA, 2003. ACM.
-
(2003)
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 236-245
-
-
Wang, J.1
Han, J.2
Pei, J.3
-
26
-
-
85008008184
-
On mining instance-centric classification rules
-
J. Wang and G. Karypis. On mining instance-centric classification rules. IEEE Trans. Knowl. Data Eng., 18(11):1497-1511, 2006.
-
(2006)
IEEE Trans. Knowl. Data Eng
, vol.18
, Issue.11
, pp. 1497-1511
-
-
Wang, J.1
Karypis, G.2
-
27
-
-
33646434495
-
An incremental algorithm for mining generators representation
-
Porto, Portugal, Springer
-
L. Xu and K. Xie. An incremental algorithm for mining generators representation. In PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, pages 701-708, Porto, Portugal, 2005. Springer.
-
(2005)
PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 701-708
-
-
Xu, L.1
Xie, K.2
-
28
-
-
79953236929
-
False positive or false negative: Mining frequent itemsets from high speed transactional data streams
-
Toronto, Canada, Morgan Kaufmann
-
J. X. Yu, Z. Chong, H. Lu, and A. Zhou. False positive or false negative: Mining frequent itemsets from high speed transactional data streams. In Proceedings of the Thirtieth International Conference on Very Large Data Bases, pages 204-215, Toronto, Canada, 2004. Morgan Kaufmann.
-
(2004)
Proceedings of the Thirtieth International Conference on Very Large Data Bases
, pp. 204-215
-
-
Yu, J.X.1
Chong, Z.2
Lu, H.3
Zhou, A.4
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