-
1
-
-
0036042175
-
Models and issues in data stream systems
-
B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom. Models and issues in data stream systems. In PODS, pages 1-16, 2002.
-
(2002)
PODS
, pp. 1-16
-
-
Babcock, B.1
Babu, S.2
Datar, M.3
Motwani, R.4
Widom, J.5
-
2
-
-
33749242628
-
Dynamic topic models
-
ACM Press
-
D. M. Blei and J. D. Lafferty. Dynamic topic models. In ICML '06, pages 113-120. ACM Press, 2006.
-
(2006)
ICML '06
, pp. 113-120
-
-
Blei, D.M.1
Lafferty, J.D.2
-
3
-
-
84879079572
-
Incremental mining of frequent patterns without candidate generation or support constraint
-
W. Cheung and O. R. Zaïane. Incremental mining of frequent patterns without candidate generation or support constraint. In IDEAS, pages 111-116, 2003.
-
(2003)
IDEAS
, pp. 111-116
-
-
Cheung, W.1
Zaïane, O.R.2
-
4
-
-
19544377965
-
Moment: Maintaining closed frequent itemsets over a stream sliding window
-
Y. Chi, H. Wang, Philip S. Yu, and Richard R. Muntz. Moment: Maintaining closed frequent itemsets over a stream sliding window. In ICDM '04, pages 59-66, 2004.
-
(2004)
ICDM '04
, pp. 59-66
-
-
Chi, Y.1
Wang, H.2
Yu, P.S.3
Muntz, R.R.4
-
6
-
-
10044238664
-
Mining frequent patterns in data streams at multiple time granularities
-
C. Giannella, J. Han, J. Pei, X. Yan, and P. S. Yu. Mining frequent patterns in data streams at multiple time granularities. In Next Generation Data Mining, 2003.
-
(2003)
Next Generation Data Mining
-
-
Giannella, C.1
Han, J.2
Pei, J.3
Yan, X.4
Yu, P.S.5
-
7
-
-
1842788824
-
Finding scientific topics
-
April
-
T. L. Griffiths and M. Steyvers. Finding scientific topics. PNAS, 101 Suppl 1:5228-5235, April 2004.
-
(2004)
PNAS
, vol.101
, Issue.SUPPL. 1
, pp. 5228-5235
-
-
Griffiths, T.L.1
Steyvers, M.2
-
8
-
-
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 Mining and Knowledge Discovery, 8(1):53-87, 2004.
-
(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
-
9
-
-
0035789299
-
Mining time-changing data streams
-
G. Hulten, L. Spencer, and P. Domingos. Mining time-changing data streams. In KDD '01, pages 97-106, 2001.
-
(2001)
KDD '01
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
10
-
-
85123650840
-
Detecting change in data streams
-
D. Kifer, S. Ben-David, and J. Gehrke. Detecting change in data streams. In VLDB, pages 180-191, 2004.
-
(2004)
VLDB
, pp. 180-191
-
-
Kifer, D.1
Ben-David, S.2
Gehrke, J.3
-
11
-
-
35048834898
-
An efficient approach for maintaining association rules based on adjusting FP-Tree structures
-
J. Koh and S. Shieh. An efficient approach for maintaining association rules based on adjusting FP-Tree structures. In DASFAA, pages 417-424, 2004.
-
(2004)
DASFAA
, pp. 417-424
-
-
Koh, J.1
Shieh, S.2
-
12
-
-
84878048755
-
DSTree: A tree structure for the mining of frequent sets from data streams
-
C. K. Leung and Q. I. Khan. DSTree: A tree structure for the mining of frequent sets from data streams. In ICDM '06, pages 928-932, 2006.
-
(2006)
ICDM '06
, pp. 928-932
-
-
Leung, C.K.1
Khan, Q.I.2
-
13
-
-
0031120321
-
Inducing features of random fields
-
S. Della Pietra, V. Della Pietra, and J. Lafferty. Inducing features of random fields. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(4):380-393, 1997.
-
(1997)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.19
, Issue.4
, pp. 380-393
-
-
Della Pietra, S.1
Della Pietra, V.2
Lafferty, J.3
-
14
-
-
31444440239
-
The 8 requirements of real-time stream processing
-
M. Stonebraker, U. Çetintemel, and S. Zdonik. The 8 requirements of real-time stream processing. ACM SIGMOD Record, 34(4):42-47, 2005.
-
(2005)
ACM SIGMOD Record
, vol.34
, Issue.4
, pp. 42-47
-
-
Stonebraker, M.1
Çetintemel, U.2
Zdonik, S.3
|