-
6
-
-
30344444271
-
estWin: Online data stream mining of recent frequent itemsets by sliding window method
-
DOI 10.1177/0165551505050785
-
J.H. Chang, and W.S. Lee estWin: online data stream mining of recent frequent itemsets by sliding window method Journal of Information Science 31 2 2005 76 90 (Pubitemid 43066256)
-
(2005)
Journal of Information Science
, vol.31
, Issue.2
, pp. 76-90
-
-
Chang, J.H.1
Lee, W.S.2
-
7
-
-
55849095876
-
Maintaining frequent closed itemsets over a sliding window
-
Y.K.J. Cheng, and W. Ng Maintaining frequent closed itemsets over a sliding window Journal of Intelligent Information Systems 31 3 2007 191 215
-
(2007)
Journal of Intelligent Information Systems
, vol.31
, Issue.3
, pp. 191-215
-
-
Cheng, Y.K.J.1
Ng, W.2
-
8
-
-
33749322733
-
Catch the moment: Maintaining closed frequent itemsets over a data stream sliding window
-
DOI 10.1007/s10115-006-0003-0
-
Y. Chi, H. Wang, P.S. Yu, and R.R. Muntz Catch the moment: maintaining closed frequent itemsets over a data stream sliding window Knowledge and Information Systems 10 3 2006 265 294 (Pubitemid 44489997)
-
(2006)
Knowledge and Information Systems
, vol.10
, Issue.3
, pp. 265-294
-
-
Chi, Y.1
Wang, H.2
Yu, P.S.3
Muntz, R.R.4
-
12
-
-
2442449952
-
Mining frequent patterns without candidate generation: A frequent-pattern tree approach
-
DOI 10.1023/B:DAMI.0000005258.31418.83
-
J. Han, J. Pei, Y. Yin, and R. Mao Mining frequent patterns without candidate generation: a frequent-pattern tree approach Data Mining and Knowledge Discovery 8 1 2004 53 87 (Pubitemid 39019971)
-
(2004)
Data Mining and Knowledge Discovery
, vol.8
, Issue.1
, pp. 53-87
-
-
Han, J.1
Pei, J.2
Yin, Y.3
Mao, R.4
-
13
-
-
34547335088
-
Frequent pattern mining: Current status and future directions
-
DOI 10.1007/s10618-006-0059-1, 10th Anniversary Issue
-
J. Han, H. Cheng, D. Xin, and X. Yan Frequent pattern mining: current status and future directions Data Mining and Knowledge Discovery 15 1 2007 55 86 (Pubitemid 47142811)
-
(2007)
Data Mining and Knowledge Discovery
, vol.15
, Issue.1
, pp. 55-86
-
-
Han, J.1
Cheng, H.2
Xin, D.3
Yan, X.4
-
15
-
-
84878048755
-
DSTree: A tree structure for the mining of frequent sets from data streams
-
C.K.-S. Leung, and Q.I. Khan DSTree: a tree structure for the mining of frequent sets from data streams Proc. ICDM 2006 928 932
-
(2006)
Proc. ICDM
, pp. 928-932
-
-
Leung, C.K.-S.1
Khan, Q.I.2
-
16
-
-
62849127337
-
Mining non-derivable frequent itemsets over data stream
-
H. Li, and H. Chen Mining non-derivable frequent itemsets over data stream Data & Knowledge Engineering 68 5 2009 481 498
-
(2009)
Data & Knowledge Engineering
, vol.68
, Issue.5
, pp. 481-498
-
-
Li, H.1
Chen, H.2
-
17
-
-
56349132360
-
Mining frequent itemsets over data streams using efficient window sliding techniques
-
H.-F. Li, and S.-Y. Lee Mining frequent itemsets over data streams using efficient window sliding techniques Expert Systems with Applications 36 2 2009 1466 1477
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.2
, pp. 1466-1477
-
-
Li, H.-F.1
Lee, S.-Y.2
-
21
-
-
52649129706
-
Verifying and mining frequent patterns from large windows over data streams
-
B. Mozafari, H. Thakkar, and C. Zaniolo Verifying and mining frequent patterns from large windows over data streams Proc. Int. Conf. ICDE, 2008 2008 179 188
-
(2008)
Proc. Int. Conf. ICDE, 2008
, pp. 179-188
-
-
Mozafari, B.1
Thakkar, H.2
Zaniolo, C.3
-
24
-
-
41849106846
-
Approximate mining of frequent patterns on streams
-
C. Silvestri, and S. Orlando Approximate mining of frequent patterns on streams Intelligent Data Analysis 11 1 2007 49 73
-
(2007)
Intelligent Data Analysis
, vol.11
, Issue.1
, pp. 49-73
-
-
Silvestri, C.1
Orlando, S.2
-
25
-
-
69549097483
-
Sliding window-based frequent pattern mining over data streams
-
S.K. Tanbeer, C.F. Ahmed, B.-S. Jeong, and Y.-K. Lee Sliding window-based frequent pattern mining over data streams Information Sciences 179 22 2009 3843 3865
-
(2009)
Information Sciences
, vol.179
, Issue.22
, pp. 3843-3865
-
-
Tanbeer, S.K.1
Ahmed, C.F.2
Jeong, B.-S.3
Lee, Y.-K.4
-
26
-
-
0002663969
-
Sampling large databases for association rules
-
H. Toivonen Sampling large databases for association rules Proc. 22nd Int. Conf. VLDB 1996 134 145
-
(1996)
Proc. 22nd Int. Conf. VLDB
, pp. 134-145
-
-
Toivonen, H.1
-
27
-
-
67349245432
-
Mining frequent itemsets in data streams using the weighted sliding window model
-
P.S.M. Tsai Mining frequent itemsets in data streams using the weighted sliding window model Expert Systems with Applications 36 9 2009 11617 11625
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.9
, pp. 11617-11625
-
-
Tsai, P.S.M.1
-
28
-
-
70349312375
-
EstMax: Tracing maximal frequent item sets instantly over online transactional data streams
-
H.J. Woo, and W.S. Lee estMax: tracing maximal frequent item sets instantly over online transactional data streams IEEE Transactions on Knowledge and Data Engineering 21 10 2009 1418 1431
-
(2009)
IEEE Transactions on Knowledge and Data Engineering
, vol.21
, Issue.10
, pp. 1418-1431
-
-
Woo, H.J.1
Lee, W.S.2
-
30
-
-
33646140552
-
A false negative approach to mining frequent itemsets from high speed transactional data streams
-
J.X. Yu, Z. Chong, H. Lu, Z. Zhang, and A. Zhou A false negative approach to mining frequent itemsets from high speed transactional data streams Information Sciences 176 14 2006 1986 2015
-
(2006)
Information Sciences
, vol.176
, Issue.14
, pp. 1986-2015
-
-
Yu, J.X.1
Chong, Z.2
Lu, H.3
Zhang, Z.4
Zhou, A.5
-
33
-
-
85138646379
-
New algorithms for fast discovery of association rules
-
M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li New algorithms for fast discovery of association rules Proc. 3rd Int. Conf. Knowledge Discovery and Data Mining, KDD'09 1997 283 286
-
(1997)
Proc. 3rd Int. Conf. Knowledge Discovery and Data Mining, KDD'09
, pp. 283-286
-
-
Zaki, M.1
Parthasarathy, S.2
Ogihara, M.3
Li, W.4
-
34
-
-
33746406794
-
An efficient algorithm for frequent itemset mining on data streams
-
Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining - 6th Industrial Conference on Data Mining, ICDM 2006, Proceedings LNAI
-
X. Zhi-Jun, C. Hong, and C. Li An efficient algorithm for frequent itemset mining on data streams Proc. ICDM 2006 474 491 (Pubitemid 44124078)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4065
, pp. 474-491
-
-
Xie, Z.-J.1
Chen, H.2
Li, C.3
|