-
1
-
-
0001882616
-
Fast algorithms for mining association rules in large databases
-
Santiago, Chile, September 12-15
-
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, Santiago, Chile, September 12-15, 1994, pp. 487-499.
-
(1994)
Proceedings of the 20th International Conference on Very Large Data Bases
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
2
-
-
0029212693
-
Mining sequential patterns
-
Taiwan, March 06-10
-
R. Agrawal, R. Srikant, Mining sequential patterns, in: Proceedings of the Eleventh International Conference on Data Engineering, Taiwan, March 06-10, 1995, pp. 3-14.
-
(1995)
Proceedings of the Eleventh International Conference on Data Engineering
, pp. 3-14
-
-
Agrawal, R.1
Srikant, R.2
-
3
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington, DC, May 26-28
-
R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, vol. 10, Washington, DC, May 26-28, 1993, pp. 207-216, .
-
(1993)
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data
, vol.10
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
4
-
-
0020849266
-
Maintaining knowledge about temporal intervals
-
Allen J.F. Maintaining knowledge about temporal intervals. Communications of the ACM 26 11 (1983) 832-P843
-
(1983)
Communications of the ACM
, vol.26
, Issue.11
-
-
Allen, J.F.1
-
5
-
-
38349081558
-
Efficient strategies for tough aggregate constraint-based sequential pattern mining
-
Chen E., Cao H., Li Q., and Qian T. Efficient strategies for tough aggregate constraint-based sequential pattern mining. Information Sciences 178 6 (2008) 1498-1518
-
(2008)
Information Sciences
, vol.178
, Issue.6
, pp. 1498-1518
-
-
Chen, E.1
Cao, H.2
Li, Q.3
Qian, T.4
-
6
-
-
69349087365
-
Discovering temporal association rules for time-lag data
-
Beijing, May
-
G. Chen, J. Ai, W. Yu, Discovering temporal association rules for time-lag data, in: Proceedings of International Conference on E-business (ICEB2002), Beijing, May 2002, pp. 324-328.
-
(2002)
Proceedings of International Conference on E-business (ICEB2002)
, pp. 324-328
-
-
Chen, G.1
Ai, J.2
Yu, W.3
-
7
-
-
33749569695
-
Constraint-based sequential pattern mining: the consideration of recency and compactness
-
Chen Y.-L., and Hu Y.-H. Constraint-based sequential pattern mining: the consideration of recency and compactness. Decision Support Systems 42 2 (2006) 1203-1215
-
(2006)
Decision Support Systems
, vol.42
, Issue.2
, pp. 1203-1215
-
-
Chen, Y.-L.1
Hu, Y.-H.2
-
8
-
-
33750553538
-
Mining temporal patterns from sequence database of interval-based events
-
FSKD
-
Y.-L. Chen, S.-Y. Wu, Mining temporal patterns from sequence database of interval-based events, in: FSKD 2006, LNAI 4223, 2006, pp. 586-595.
-
(2006)
LNAI
, vol.4223
, pp. 586-595
-
-
Chen, Y.-L.1
Wu, S.-Y.2
-
9
-
-
84947768200
-
Finding similar time series, in: J
-
Komorowski et al, Eds, Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, Springer, Trondheim, Norway
-
G. Das, D. Gunopulos, H. Mannila, Finding similar time series, in: J. Komorowski et al. (Eds), Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, LNAI 1263, Springer, Trondheim, Norway, 1997, pp. 88-100.
-
(1997)
LNAI
, vol.1263
, pp. 88-100
-
-
Das, G.1
Gunopulos, D.2
Mannila, H.3
-
10
-
-
73149116915
-
-
G. Das, K.I. Lin, H. Mannila, Rule discovery from time series, in: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 1998, pp. 16-22.
-
G. Das, K.I. Lin, H. Mannila, Rule discovery from time series, in: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 1998, pp. 16-22.
-
-
-
-
11
-
-
34248393105
-
First-order temporal pattern mining with regular expression constraints
-
De Amo S., and Furtado D.A. First-order temporal pattern mining with regular expression constraints. Data and Knowledge Engineering 62 3 (2007) 401-420
-
(2007)
Data and Knowledge Engineering
, vol.62
, Issue.3
, pp. 401-420
-
-
De Amo, S.1
Furtado, D.A.2
-
12
-
-
36849001879
-
Trajectory pattern mining
-
San Jose, California, USA
-
F. Giannotti, M. Nanni, F. Pinelli, D. Pedreschi, Trajectory pattern mining, in: International Conference on Knowledge Discovery and Data Mining, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Table of Contents, San Jose, California, USA, 2007, pp. 330-339.
-
(2007)
International Conference on Knowledge Discovery and Data Mining, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Table of Contents
, pp. 330-339
-
-
Giannotti, F.1
Nanni, M.2
Pinelli, F.3
Pedreschi, D.4
-
13
-
-
84943264048
-
-
F. Hoppner, Discovery of temporal patterns - learning rules about the qualitative behaviour of time series, in: PKDD'01, No. 2168 of LNAI, Freiburg, Germany, 2001, pp. 192-203.
-
F. Hoppner, Discovery of temporal patterns - learning rules about the qualitative behaviour of time series, in: PKDD'01, No. 2168 of LNAI, Freiburg, Germany, 2001, pp. 192-203.
-
-
-
-
14
-
-
34948870441
-
Discovery of maximum length frequent itemsets
-
Hu T., Sung S.Y., Xiong H., and Fu Q. Discovery of maximum length frequent itemsets. Information Sciences 178 1 (2008) 69-87
-
(2008)
Information Sciences
, vol.178
, Issue.1
, pp. 69-87
-
-
Hu, T.1
Sung, S.Y.2
Xiong, H.3
Fu, Q.4
-
15
-
-
0346972419
-
Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining
-
Hu Y.-C., Tzeng G.-H., and Chen C.-M. Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. Information Sciences 159 1-2 (2004) 69-86
-
(2004)
Information Sciences
, vol.159
, Issue.1-2
, pp. 69-86
-
-
Hu, Y.-C.1
Tzeng, G.-H.2
Chen, C.-M.3
-
16
-
-
0005482588
-
Causality and cointegration of stock markets among the United States, Japan and South China growth triangle
-
Huang B.-N., Yang C.-W., and Hu W.-S. Causality and cointegration of stock markets among the United States, Japan and South China growth triangle. International Review of Financial Analysis 9 3 (2000) 281-297
-
(2000)
International Review of Financial Analysis
, vol.9
, Issue.3
, pp. 281-297
-
-
Huang, B.-N.1
Yang, C.-W.2
Hu, W.-S.3
-
19
-
-
34250336422
-
An efficient algorithm for mining frequent inter-transaction patterns
-
Lee A.J.T., and Wang C.-S. An efficient algorithm for mining frequent inter-transaction patterns. Information Sciences 177 17 (2007) 3453-3476
-
(2007)
Information Sciences
, vol.177
, Issue.17
, pp. 3453-3476
-
-
Lee, A.J.T.1
Wang, C.-S.2
-
20
-
-
64549108460
-
Mining frequent trajectory patterns in spatial-temporal databases
-
Lee J.T., Chen Y., and Ip W.-C. Mining frequent trajectory patterns in spatial-temporal databases. Information Sciences 179 13 (2009) 2218-2231
-
(2009)
Information Sciences
, vol.179
, Issue.13
, pp. 2218-2231
-
-
Lee, J.T.1
Chen, Y.2
Ip, W.-C.3
-
21
-
-
34250336422
-
An efficient algorithm for mining frequent inter-transaction patterns
-
Lee J.T., and Wang C.-S. An efficient algorithm for mining frequent inter-transaction patterns. Information Sciences 177 17 (2007) 3453-3476
-
(2007)
Information Sciences
, vol.177
, Issue.17
, pp. 3453-3476
-
-
Lee, J.T.1
Wang, C.-S.2
-
22
-
-
73149091083
-
-
Working Paper, California State University, Fullerton
-
Y. Li, J.F. Greco, B. Chavis, Lead-lag relations between A shares and H shares in the Chinese stock markets, Working Paper, California State University, Fullerton, 2000.
-
(2000)
Lead-lag relations between A shares and H shares in the Chinese stock markets
-
-
Li, Y.1
Greco, J.F.2
Chavis, B.3
-
23
-
-
31944451673
-
Looking into the seeds of time: discovering temporal patterns in large transaction sets
-
Li Y., Zhu S., Wang X.S., and Jajoodia S. Looking into the seeds of time: discovering temporal patterns in large transaction sets. Information Sciences 176 8 (2006) 1003-1031
-
(2006)
Information Sciences
, vol.176
, Issue.8
, pp. 1003-1031
-
-
Li, Y.1
Zhu, S.2
Wang, X.S.3
Jajoodia, S.4
-
24
-
-
5144226703
-
Interactive sequence discovery by incremental mining
-
Lin M.-Y., and Lee S.-Y. Interactive sequence discovery by incremental mining. Information Sciences 165 3-4 (2004) 187-205
-
(2004)
Information Sciences
, vol.165
, Issue.3-4
, pp. 187-205
-
-
Lin, M.-Y.1
Lee, S.-Y.2
-
25
-
-
51349163865
-
Fast discovering of sequential patterns in large databases using effective time-indexing
-
Lin M.-Y., Hsueh S.-C., and Chang C.-W. Fast discovering of sequential patterns in large databases using effective time-indexing. Information Sciences 178 22 (2008) 4228-4245
-
(2008)
Information Sciences
, vol.178
, Issue.22
, pp. 4228-4245
-
-
Lin, M.-Y.1
Hsueh, S.-C.2
Chang, C.-W.3
-
26
-
-
51349163865
-
Fast discovery of sequential patterns in large databases using effective time-indexing
-
Lin M.-Y., Hsueh S.-C., and Chang C.-W. Fast discovery of sequential patterns in large databases using effective time-indexing. Information Sciences 178 22 (2008) 4228-4245
-
(2008)
Information Sciences
, vol.178
, Issue.22
, pp. 4228-4245
-
-
Lin, M.-Y.1
Hsueh, S.-C.2
Chang, C.-W.3
-
28
-
-
0034410336
-
Red chips or H-shares: which China-backed securities process information the fastest
-
Poon W.P.H., and Fund H.-G. Red chips or H-shares: which China-backed securities process information the fastest. Journal of Multinational Financial Management 10 (2000) 315-343
-
(2000)
Journal of Multinational Financial Management
, vol.10
, pp. 315-343
-
-
Poon, W.P.H.1
Fund, H.-G.2
-
29
-
-
22844456088
-
-
C.P. Rainsford, J.F. Roddic, Adding temporal semantics to association rules, in: Proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD '99, Prague, Czech Republic. September 15-18, 1999, pp. 504-509.
-
C.P. Rainsford, J.F. Roddic, Adding temporal semantics to association rules, in: Proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD '99, Prague, Czech Republic. September 15-18, 1999, pp. 504-509.
-
-
-
-
30
-
-
0001141091
-
The effect of market segmentation on stock prices: the China syndrome
-
Sun Q., and Tong W.H.S. The effect of market segmentation on stock prices: the China syndrome. Journal of Banking and Finance 24 (2000) 1875-1902
-
(2000)
Journal of Banking and Finance
, vol.24
, pp. 1875-1902
-
-
Sun, Q.1
Tong, W.H.S.2
-
31
-
-
62249183038
-
FIUT: a new method for mining frequent itemsets
-
Tsay T.-J., Hsu T.-J., and Yu J.-R. FIUT: a new method for mining frequent itemsets. Information Sciences 179 11 (2009) 1724-1737
-
(2009)
Information Sciences
, vol.179
, Issue.11
, pp. 1724-1737
-
-
Tsay, T.-J.1
Hsu, T.-J.2
Yu, J.-R.3
-
32
-
-
34250202878
-
ARMADA - an algorithm for discovering richer relative temporal association rules from interval-based data
-
Winarko E., and Roddick J.F. ARMADA - an algorithm for discovering richer relative temporal association rules from interval-based data. Data and Knowledge Engineering 63 1 (2007) 76-90
-
(2007)
Data and Knowledge Engineering
, vol.63
, Issue.1
, pp. 76-90
-
-
Winarko, E.1
Roddick, J.F.2
-
33
-
-
73149085381
-
-
Wind Financial Databases, Shanghai Wind Information Co., Ltd., http://www.wind.com.cn/.
-
Wind Financial Databases, Shanghai Wind Information Co., Ltd., http://www.wind.com.cn/.
-
-
-
-
35
-
-
73149102165
-
Mining delayed association rules based on temporal data
-
(in Chinese)
-
Yu W., and Chen G. Mining delayed association rules based on temporal data. Computer Application and Research 12 (2002) 19-22 (in Chinese)
-
(2002)
Computer Application and Research
, vol.12
, pp. 19-22
-
-
Yu, W.1
Chen, G.2
-
36
-
-
0034826102
-
SPADE: an efficient algorithm for mining frequent sequences
-
Zaki M.J. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning 42 1/2 (2000) 31-60
-
(2000)
Machine Learning
, vol.42
, Issue.1-2
, pp. 31-60
-
-
Zaki, M.J.1
-
37
-
-
36148947566
-
Discovering during-temporal patterns (DTPs) in large temporal databases
-
Zhang L., Chen G., Brijs T., and Zhang X. Discovering during-temporal patterns (DTPs) in large temporal databases. Expert Systems with Applications 34 2 (2008) 1178-1189
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.2
, pp. 1178-1189
-
-
Zhang, L.1
Chen, G.2
Brijs, T.3
Zhang, X.4
|