-
1
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
AGRAWAL, R., GEHRKE, J., GUNOPULOS, D., AND RAGHAVAN, P. Automatic subspace clustering of high dimensional data for data mining applications. In SIGMOD Conference (1998), pp. 94-105.
-
(1998)
SIGMOD Conference
, pp. 94-105
-
-
AGRAWAL, R.1
GEHRKE, J.2
GUNOPULOS, D.3
RAGHAVAN, P.4
-
2
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
AGRAWAL, R., IMIELINSKI, T., AND SWAMI, A. N. Mining association rules between sets of items in large databases. In SIGMOD Conference (1993), pp. 207-216.
-
(1993)
SIGMOD Conference
, pp. 207-216
-
-
AGRAWAL, R.1
IMIELINSKI, T.2
SWAMI, A.N.3
-
3
-
-
0001371923
-
Fast discovery of association rules
-
AAAI/MIT Press
-
AGRAWAL, R., MANNILA, H., SRIKANT, R., TOIVONEN, H., AND VERKAMO, A. I. Fast discovery of association rules. In Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 1996, pp. 307-328.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
AGRAWAL, R.1
MANNILA, H.2
SRIKANT, R.3
TOIVONEN, H.4
VERKAMO, A.I.5
-
5
-
-
33750340279
-
Don't be afraid of simpler patterns
-
BRINGMANN, B., ZIMMERMANN, A., DE RAEDT, L., AND NIJSSEN, S. Don't be afraid of simpler patterns. In PKDD (2006), pp. 55-66.
-
(2006)
PKDD
, pp. 55-66
-
-
BRINGMANN, B.1
ZIMMERMANN, A.2
DE RAEDT, L.3
NIJSSEN, S.4
-
6
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
CHOW, C. K., AND LIU, C. N. Approximating discrete probability distributions with dependence trees. IEEE Trans. Info. Theory 14, 3 (1968), 462-467.
-
(1968)
IEEE Trans. Info. Theory
, vol.14
, Issue.3
, pp. 462-467
-
-
CHOW, C.K.1
LIU, C.N.2
-
7
-
-
34249832377
-
Bayesian method for the induction of probabilistic networks from data
-
COOPER, G. F., AND HERSKOVITS, E. A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9 (1992), 309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
COOPER, G.F.1
HERSKOVITS, E.A.2
-
9
-
-
0016102310
-
A projection pursuit algorithm for exploratory data analysis
-
FRIEDMAN, J. H., AND TUKEY, J. W. A projection pursuit algorithm for exploratory data analysis. IEEE Trans. Comput. 23 (1974), 881-890.
-
(1974)
IEEE Trans. Comput
, vol.23
, pp. 881-890
-
-
FRIEDMAN, J.H.1
TUKEY, J.W.2
-
10
-
-
33745037411
-
Fragments of order
-
GIONIS, A., KUJALA, T., AND MANNILA, H. Fragments of order. In KDD (2003), pp. 129-136.
-
(2003)
KDD
, pp. 129-136
-
-
GIONIS, A.1
KUJALA, T.2
MANNILA, H.3
-
11
-
-
33749583834
-
Assessing data mining results via swap randomization
-
GIONIS, A., MANNILA, H., MIELIKÄINEN, T., AND TSAPARAS, P. Assessing data mining results via swap randomization. In KDD (2006), pp. 167-176.
-
(2006)
KDD
, pp. 167-176
-
-
GIONIS, A.1
MANNILA, H.2
MIELIKÄINEN, T.3
TSAPARAS, P.4
-
13
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
HECKERMAN, D., GEIGER, D., AND CHICKERING, D. M. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 20, 3 (1995), 197-243.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 197-243
-
-
HECKERMAN, D.1
GEIGER, D.2
CHICKERING, D.M.3
-
14
-
-
33750377696
-
Finding trees from unordered 0-1 data
-
HEIKINHEIMO, H., MANNILA, H., AND SEPPÄNEN, J. K. Finding trees from unordered 0-1 data. In PKDD (2006), pp. 175-186.
-
(2006)
PKDD
, pp. 175-186
-
-
HEIKINHEIMO, H.1
MANNILA, H.2
SEPPÄNEN, J.K.3
-
15
-
-
0000263797
-
Projection pursuit
-
June
-
HUBER, P. J. Projection pursuit. The Annals of Statistics 13, 2 (June 1985), 435-475.
-
(1985)
The Annals of Statistics
, vol.13
, Issue.2
, pp. 435-475
-
-
HUBER, P.J.1
-
16
-
-
33749555022
-
Maximally informative k-itemsets and their efficient discovery
-
KNOBBE, A. J., AND HO, E. K. Y. Maximally informative k-itemsets and their efficient discovery. In KDD (2006), pp. 237-244.
-
(2006)
KDD
, pp. 237-244
-
-
KNOBBE, A.J.1
HO, E.K.Y.2
-
17
-
-
69249216907
-
Advances in exact Bayesian structure discovery in Bayesian networks
-
KOIVISTO, M. Advances in exact Bayesian structure discovery in Bayesian networks. In UAI (2006), pp. 241-248.
-
(2006)
UAI
, pp. 241-248
-
-
KOIVISTO, M.1
-
19
-
-
0033687894
-
Traversing itemset lattice with statistical metric pruning
-
ACM, pp
-
MORISHITA, S., AND SESE, J. Traversing itemset lattice with statistical metric pruning. In PODS (2000), ACM, pp. 226-236.
-
(2000)
PODS
, pp. 226-236
-
-
MORISHITA, S.1
SESE, J.2
-
20
-
-
17044376078
-
Subspace clustering for high dimensional data: A review
-
PARSONS, L., HAQUE, E., AND LIU, H. Subspace clustering for high dimensional data: a review. SIGKDD Explor. Newsl. 6, 1 (2004), 90-105.
-
(2004)
SIGKDD Explor. Newsl
, vol.6
, Issue.1
, pp. 90-105
-
-
PARSONS, L.1
HAQUE, E.2
LIU, H.3
-
22
-
-
36849037021
-
-
SIEBES, A., VREEKEN, J., AND VAN LEEUWEN, M. Item sets that compress. In SDM (2006), J. Ghosh, D. Lambert, D. B. Skillicorn, and J. Srivastava, Eds., SIAM.
-
SIEBES, A., VREEKEN, J., AND VAN LEEUWEN, M. Item sets that compress. In SDM (2006), J. Ghosh, D. Lambert, D. B. Skillicorn, and J. Srivastava, Eds., SIAM.
-
-
-
-
23
-
-
33750304892
-
Compression picks item sets that matter
-
VAN LEEUWEN, M., VREEKEN, J., AND SIEBES, A. Compression picks item sets that matter. In PKDD (2006), pp. 585-592.
-
(2006)
PKDD
, pp. 585-592
-
-
VAN LEEUWEN, M.1
VREEKEN, J.2
SIEBES, A.3
-
24
-
-
35048886120
-
-
ZIMMERMANN, A., AND DE RAEDT, L. CorClass: Correlated association rule mining for classification. In Discovery Science (2004), E. Suzuki and S. Arikawa, Eds., 3245 of Lecture Notes in Computer Science, Springer, pp. 60-72.
-
ZIMMERMANN, A., AND DE RAEDT, L. CorClass: Correlated association rule mining for classification. In Discovery Science (2004), E. Suzuki and S. Arikawa, Eds., vol. 3245 of Lecture Notes in Computer Science, Springer, pp. 60-72.
-
-
-
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