-
1
-
-
0027883358
-
Database mining: A performance perspective
-
Agrawal, N., Imielinski, T., Swami, A.: Database mining: A performance perspective. IEEE Trans. on Knowledge and data Engineering 5(6) (1993)
-
(1993)
IEEE Trans. on Knowledge and Data Engineering
, vol.5
, Issue.6
-
-
Agrawal, N.1
Imielinski, T.2
Swami, A.3
-
2
-
-
0032690878
-
Borders: An efficient algorithm for association generation in dynamic databases
-
Aumann, Y., Feldman, R., Lipshtat, O.: Borders: An efficient algorithm for association generation in dynamic databases. JIIS 12 (1999)
-
(1999)
JIIS
, pp. 12
-
-
Aumann, Y.1
Feldman, R.2
Lipshtat, O.3
-
3
-
-
77951056506
-
Constrained itemset mining on a sequence of incoming data blocks
-
Baralis, E., Cerquitelli, T., Chiusano, S.: Constrained itemset mining on a sequence of incoming data blocks. Int. J. Intell. Syst. 25, 389-410 (2010)
-
(2010)
Int. J. Intell. Syst.
, vol.25
, pp. 389-410
-
-
Baralis, E.1
Cerquitelli, T.2
Chiusano, S.3
-
4
-
-
77957844798
-
Array-tree: A persistent data structure to compactly store frequent itemsets
-
Baralis, E., Cerquitelli, T., Chiusano, S., Grand, A.: Array-tree: A persistent data structure to compactly store frequent itemsets. In: IEEE Conf. of Intelligent Systems, pp. 108-113 (2010)
-
(2010)
IEEE Conf. of Intelligent Systems
, pp. 108-113
-
-
Baralis, E.1
Cerquitelli, T.2
Chiusano, S.3
Grand, A.4
-
5
-
-
0029733589
-
Maintenance of discovered association rules in large databases: An incremental updating technique
-
IEEE Computer Society, Los Alamitos
-
Cheung, D.W.-L., Han, J., Ng, V., Wong, C.Y.: Maintenance of discovered association rules in large databases: An incremental updating technique. In: ICDE, pp. 106-114. IEEE Computer Society, Los Alamitos (1996)
-
(1996)
ICDE
, pp. 106-114
-
-
Cheung, D.W.-L.1
Han, J.2
Ng, V.3
Wong, C.Y.4
-
6
-
-
84879079572
-
Incremental mining of frequent patterns without candidate generation or support constraint
-
July
-
Cheung, W., Zaiane, O.R.: Incremental mining of frequent patterns without candidate generation or support constraint. In: IDEAS, pp. 111-116 (July 2003)
-
(2003)
IDEAS,.
, pp. 111-116
-
-
Cheung, W.1
Zaiane, O.R.2
-
7
-
-
0035053182
-
DEMON: Mining and monitoring evolving data
-
Ganti, V., Gehrke, J., Ramakrishnan, R.: DEMON: Mining and monitoring evolving data. IEEE Trans. Knowl. Data Eng. 13(1), 50-63 (2001)
-
(2001)
IEEE Trans. Knowl. Data Eng.
, vol.13
, Issue.1
, pp. 50-63
-
-
Ganti, V.1
Gehrke, J.2
Ramakrishnan, R.3
-
8
-
-
4544289585
-
Mining data streams under block evolution
-
January
-
Ganti, V., Gehrke, J.E., Ramakrishnan, R.: Mining data streams under block evolution. SIGKDD Explorations 3(2) (January 2002)
-
(2002)
SIGKDD Explorations
, vol.3
, Issue.2
-
-
Ganti, V.1
Gehrke, J.E.2
Ramakrishnan, R.3
-
9
-
-
78149351437
-
Efficiently mining maximal frequent itemsets
-
IEEE Computer Society, Washington, DC, USA
-
Gouda, K., Zaki, M.J.: Efficiently mining maximal frequent itemsets. In: ICDM 2001: Proceedings of the 2001 IEEE International Conference on Data Mining, pp. 163-170. IEEE Computer Society, Washington, DC, USA (2001)
-
(2001)
ICDM 2001: Proceedings of the 2001 IEEE International Conference on Data Mining
, pp. 163-170
-
-
Gouda, K.1
Zaki, M.J.2
-
11
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. In: In SIGMOD 2000, Dallas, TX (May 2000)
-
SIGMOD 2000, Dallas, TX (May 2000)
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
12
-
-
58049205580
-
Mining recent frequent itemsets in data streams
-
IEEE Computer Society, Washington, DC, USA
-
Li, K., Wang, Y.-y., Ellahi, M., Wang, H.-a.: Mining recent frequent itemsets in data streams. In: Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, vol. 04, pp. 353-358. IEEE Computer Society, Washington, DC, USA (2008)
-
(2008)
Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
, vol.4
, pp. 353-358
-
-
Li, K.1
Wang, Y.-Y.2
Ellahi, M.3
Wang, H.-A.4
-
13
-
-
57949109039
-
An efficient frequent pattern mining algorithm for data stream
-
IEEE Computer Society, Washington, DC, USA
-
Liu, H., Lin, S., Qiao, J., Yu, G., Lu, K.: An efficient frequent pattern mining algorithm for data stream. In: Proceedings of the 2008 International Conference on Intelligent Computation Technology and Automation, vol. 01, pp. 757-761. IEEE Computer Society, Washington, DC, USA (2008)
-
(2008)
Proceedings of the 2008 International Conference on Intelligent Computation Technology and Automation
, vol.1
, pp. 757-761
-
-
Liu, H.1
Lin, S.2
Qiao, J.3
Yu, G.4
Lu, K.5
-
14
-
-
3543095068
-
Pushing convertible constraints in frequent itemset mining
-
Pei, J., Han, J., Lakshmanan, L.V.S.: Pushing convertible constraints in frequent itemset mining. Data Min. Knowl. Discov. 8(3), 227-252 (2004)
-
(2004)
Data Min. Knowl. Discov.
, vol.8
, Issue.3
, pp. 227-252
-
-
Pei, J.1
Han, J.2
Lakshmanan, L.V.S.3
-
15
-
-
80053150638
-
-
F. repository, http://fimi.cs.helsinki.fi/
-
F. Repository
-
-
-
16
-
-
55049091309
-
LCM ver. 2: Efficient mining algorithms for frequent/closed/maximal itemsets
-
Uno, T., Kiyomi, M., Arimura, H.: LCM ver. 2: Efficient mining algorithms for frequent/closed/maximal itemsets. In: FIMI (2004)
-
(2004)
FIMI
-
-
Uno, T.1
Kiyomi, M.2
Arimura, H.3
-
17
-
-
77952363125
-
Closet+: Searching for the best strategies for mining frequent closed itemsets
-
ACM, New York
-
Wang, J., Han, J., Pei, J.: Closet+: searching for the best strategies for mining frequent closed itemsets. In: KDD 2003: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 236-245. ACM, New York (2003)
-
(2003)
KDD 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
-
18
-
-
67650534935
-
Maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams
-
Wang, Y., Li, K., Wang, H.: Maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams. In: IEEE Symposium on Computational Intelligence and Data Mining, pp. 381-388 (2009)
-
(2009)
IEEE Symposium on Computational Intelligence and Data Mining
, pp. 381-388
-
-
Wang, Y.1
Li, K.2
Wang, H.3
-
19
-
-
70749107260
-
Imbt-a binary tree for efficient support counting of incremental data mining
-
Yang, C.-H., Yang, D.-L.: Imbt-a binary tree for efficient support counting of incremental data mining. In: CSE (1), pp. 324-329 (2009)
-
(2009)
CSE
, Issue.1
, pp. 324-329
-
-
Yang, C.-H.1
Yang, D.-L.2
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