-
1
-
-
0027621699
-
Mining associations between sets of items in massive databases
-
Washington, DC, May
-
R. Agrawal, T. Imielinski, and A. Swami. Mining associations between sets of items in massive databases. In Proc. 1993 ACM-SIGMOD Int. Conf. Management of Data, pages 207-216, Washington, DC, May 1993.
-
(1993)
Proc. 1993 ACM-SIGMOD Int. Conf. Management of Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
2
-
-
84972545970
-
A survey of exact inference for contingency tables
-
February
-
A. Agresti. A survey of exact inference for contingency tables. Statistical Science, 7(1):131-153, February 1992.
-
(1992)
Statistical Science
, vol.7
, Issue.1
, pp. 131-153
-
-
Agresti, A.1
-
3
-
-
84867817851
-
Mining minimal non-redundant association rules using frequent closed itemsets
-
Berlin. Springer-Verlag
-
Y. Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Mining minimal non-redundant association rules using frequent closed itemsets. In First Int. Conf. Computational Logic - CL 2000, pages 972-986, Berlin, 2000. Springer-Verlag.
-
(2000)
First Int. Conf. Computational Logic - CL 2000
, pp. 972-986
-
-
Bastide, Y.1
Pasquier, N.2
Taouil, R.3
Stumme, G.4
Lakhal, L.5
-
4
-
-
23044527560
-
Detecting group differences: Mining contrast sets
-
S. D. Bay and M. J. Pazzani. Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery, 5(3):213-246, 2001.
-
(2001)
Data Mining and Knowledge Discovery
, vol.5
, Issue.3
, pp. 213-246
-
-
Bay, S.D.1
Pazzani, M.J.2
-
5
-
-
23044517681
-
Constraint-based rule mining in large, dense databases
-
R. J. Bayardo, Jr., R. Agrawal, and D. Gunopulos. Constraint-based rule mining in large, dense databases. Data Mining and Knowledge Discovery, 4(2/3):217-240, 2000.
-
(2000)
Data Mining and Knowledge Discovery
, vol.4
, Issue.2-3
, pp. 217-240
-
-
Bayardo Jr., R.J.1
Agrawal, R.2
Gunopulos, D.3
-
6
-
-
0001677717
-
Controlling the false discovery rate: A new and powerful approach to multiple testing
-
Y. Benjamini and Y. Hochberg. Controlling the false discovery rate: A new and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B, 57:289-300, 1995.
-
(1995)
Journal of the Royal Statistical Society Series B
, vol.57
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
7
-
-
0035733108
-
The control of the false discovery rate in multiple testing under dependency
-
Y. Benjamini and D. Yekutieli. The control of the false discovery rate in multiple testing under dependency. The Annals of Statistics, 29(4):1165-1188, 2001.
-
(2001)
The Annals of Statistics
, vol.29
, Issue.4
, pp. 1165-1188
-
-
Benjamini, Y.1
Yekutieli, D.2
-
9
-
-
0242613626
-
Using association rules for product assortment decisions: A case study
-
T. Brijs, G. Swinnen, K. Vanhoof, and G. Wets. Using association rules for product assortment decisions: A case study. In Knowledge Discovery and Data Mining, pages 254-260, 1999.
-
(1999)
Knowledge Discovery and Data Mining
, pp. 254-260
-
-
Brijs, T.1
Swinnen, G.2
Vanhoof, K.3
Wets, G.4
-
10
-
-
0031161999
-
Beyond market baskets: Generalizing association rules to correlations
-
J. Peckham, editor, New York, NY, May. ACM Press
-
S. Brin, R. Motwani, and C. Silverstein. Beyond market baskets: Generalizing association rules to correlations. In J. Peckham, editor, SIGMOD 1997, Proc. ACM SIGMOD Int. Conf. Management of Data, pages 265-276, New York, NY, May 1997. ACM Press.
-
(1997)
SIGMOD 1997, Proc. ACM SIGMOD Int. Conf. Management of Data
, pp. 265-276
-
-
Brin, S.1
Motwani, R.2
Silverstein, C.3
-
13
-
-
0003704318
-
-
Irvine, CA: University of California, Department of Information and Computer Science
-
S. Hettich and S. D. Bay. The UCI KDD archive. [http://kdd.ics.uci.edu] Irvine, CA: University of California, Department of Information and Computer Science., 2006.
-
(2006)
The UCI KDD Archive
-
-
Hettich, S.1
Bay, S.D.2
-
14
-
-
0000244636
-
Improved bonferroni-type multiple testing procedures
-
B. Holland and C. M. D. Improved Bonferroni-type multiple testing procedures. Psychological Bulletin, 104(1):145-149, 1988.
-
(1988)
Psychological Bulletin
, vol.104
, Issue.1
, pp. 145-149
-
-
Holland, B.1
D., C.M.2
-
15
-
-
0002294347
-
A simple sequentially rejective multiple test procedure
-
S. Holm. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6:65-70, 1979.
-
(1979)
Scandinavian Journal of Statistics
, vol.6
, pp. 65-70
-
-
Holm, S.1
-
17
-
-
4644372684
-
Finding the most interesting correlations in a database: How hard can it be?
-
C. Jermaine. Finding the most interesting correlations in a database: How hard can it be? Information Systems, 30(1):21-46, 2005.
-
(2005)
Information Systems
, vol.30
, Issue.1
, pp. 21-46
-
-
Jermaine, C.1
-
18
-
-
0001267179
-
Pruning and summarizing the discovered associations
-
New York, August. AAAI
-
B. Liu, W. Hsu, and Y. Ma. Pruning and summarizing the discovered associations. In Proc. Fifth ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD-99), pages 125-134, New York, August 1999. AAAI.
-
(1999)
Proc. Fifth ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD-99)
, pp. 125-134
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
21
-
-
33749547632
-
UCI repository of machine learning databases
-
University of California, Department of Information and Computer Science, Irvine, CA
-
D. J. Newman, S. Hettich, C. Blake, and C. J. Merz. UCI repository of machine learning databases. [Machine-readable data repository]. University of California, Department of Information and Computer Science, Irvine, CA., 2006.
-
(2006)
Machine-readable Data Repository
-
-
Newman, D.J.1
Hettich, S.2
Blake, C.3
Merz, C.J.4
-
22
-
-
0002877253
-
Discovery, analysis, and presentation of strong rules
-
G. Piatetsky-Shapiro and J. Frawley, editors. AAAI/MIT Press, Menlo Park, CA
-
G. Piatetsky-Shapiro. Discovery, analysis, and presentation of strong rules. In G. Piatetsky-Shapiro and J. Frawley, editors, Knowledge Discovery in Databases, pages 229-248. AAAI/MIT Press, Menlo Park, CA., 1991.
-
(1991)
Knowledge Discovery in Databases
, pp. 229-248
-
-
Piatetsky-Shapiro, G.1
-
23
-
-
33749539847
-
Finding association rules that trade support optimally against confidence
-
T. Scheffer. Finding association rules that trade support optimally against confidence. Intelligent Data Analysis, 9(4):381-395, 1995.
-
(1995)
Intelligent Data Analysis
, vol.9
, Issue.4
, pp. 381-395
-
-
Scheffer, T.1
-
24
-
-
11944262819
-
Multiple hypothesis testing
-
J. P. Shaffer. Multiple hypothesis testing. Ann. Rev. Psychology, 46:561-584, 1995.
-
(1995)
Ann. Rev. Psychology
, vol.46
, pp. 561-584
-
-
Shaffer, J.P.1
-
28
-
-
4444337294
-
Mining non-redundant association rules
-
M. J. Zaki. Mining non-redundant association rules. Data Mining and Knowledge Discovery, 9(3):223-248, 2004.
-
(2004)
Data Mining and Knowledge Discovery
, vol.9
, Issue.3
, pp. 223-248
-
-
Zaki, M.J.1
-
29
-
-
12244294068
-
On the discovery of significant statistical quantitative rules
-
New York, NY, August. ACM Press
-
H. Zhang, B. Padmanabhan, and A. Tuzhilin. On the discovery of significant statistical quantitative rules. In Proc. Tenth Int. Conf. Knowledge Discovery and Data Mining (KDD-2004), pages 374-383, New York, NY, August 2004. ACM Press.
-
(2004)
Proc. Tenth Int. Conf. Knowledge Discovery and Data Mining (KDD-2004)
, pp. 374-383
-
-
Zhang, H.1
Padmanabhan, B.2
Tuzhilin, A.3
-
30
-
-
0035788918
-
Real world performance of association rule algorithms
-
New York, NY, August. ACM
-
Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. Seventh Int. Conf. Knowledge Discovery and Data Mining (KDD-2001), pages 401-406, New York, NY, August 2001. ACM.
-
(2001)
Proc. Seventh Int. Conf. Knowledge Discovery and Data Mining (KDD-2001)
, pp. 401-406
-
-
Zheng, Z.1
Kohavi, R.2
Mason, L.3
|