-
2
-
-
0031623544
-
A New Framework for Itemset Generation
-
Seattle, WA, USA
-
C.C. Aggarwal and P.S. Yu, A New Framework for Itemset Generation, in: PODS 98, Symposium on Principles of Database Systems, Seattle, WA, USA, 1998, 18-24.
-
(1998)
PODS 98, Symposium on Principles of Database Systems
, pp. 18-24
-
-
Aggarwal, C.C.1
Yu, P.S.2
-
3
-
-
0027621699
-
Mining Association Rules between Sets of Items in Large Databases
-
Washington D.C
-
R. Agrawal, T. Imielinski and A. Swami, Mining Association Rules between Sets of Items in Large Databases, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washington D.C., 1993, 207-216.
-
(1993)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
4
-
-
0001882616
-
Fast algorithms for mining association rules in large databases
-
J.B. Bocea, M. Jarke and C. Zaniolo, eds, Santiago, Chile
-
R. Agrawal and R. Srikant, Fast algorithms for mining association rules in large databases, in: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, J.B. Bocea, M. Jarke and C. Zaniolo, eds, Santiago, Chile, 1994, pp. 487-499.
-
(1994)
Proceedings of the 20th International Conference on Very Large Data Bases, VLDB
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
6
-
-
0001592470
-
Demand complementarities, household production and retail assortments
-
R. Betancourt and D. Gautschi, Demand complementarities, household production and retail assortments, Marketing Science 9 (1990), 146-161.
-
(1990)
Marketing Science
, vol.9
, pp. 146-161
-
-
Betancourt, R.1
Gautschi, D.2
-
8
-
-
41749088721
-
-
F. Bodon, A fast apriori implementation, in: Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMF03), B. Goethals and M.J. Zaki, eds., Melbourne, Florida, USA, 2003, 90 of CEUR Workshop Proceedings.
-
F. Bodon, A fast apriori implementation, in: Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMF03), B. Goethals and M.J. Zaki, eds., Melbourne, Florida, USA, 2003, volume 90 of CEUR Workshop Proceedings.
-
-
-
-
9
-
-
0031162961
-
Dynamic Itemset Counting and Implication Rules for Market Basket Data
-
Tucson, Arizona, USA
-
S. Brin, R. Motwani, J.D. Ullman and S. Tsur, Dynamic Itemset Counting and Implication Rules for Market Basket Data, in: SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, Tucson, Arizona, USA, 1997, 255-264.
-
(1997)
SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data
, pp. 255-264
-
-
Brin, S.1
Motwani, R.2
Ullman, J.D.3
Tsur, S.4
-
10
-
-
0035789293
-
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction
-
F. Provost and R. Srikant, eds, ACM Press
-
I.V. Cadez, P. Smyth and H. Mannila, Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction, in: Proceedings of the ACM SIGKDD Intentional Conference on Knowledge Discovery in Databases and Data Mining (KDD-01), F. Provost and R. Srikant, eds, ACM Press, 2001, pp. 37-15.
-
(2001)
Proceedings of the ACM SIGKDD Intentional Conference on Knowledge Discovery in Databases and Data Mining (KDD-01)
, pp. 37-15
-
-
Cadez, I.V.1
Smyth, P.2
Mannila, H.3
-
11
-
-
0035789655
-
Empirical Bayes screening for multiitem associations
-
F. Provost and R. Srikant, eds, ACM Press
-
W. DuMouchel and D. Pregibon, Empirical Bayes screening for multiitem associations, in: Proceedings of the ACM SIGKDD Intentional Conference on Knowledge Discovery in Databases and Data Mining (KDD-01), F. Provost and R. Srikant, eds, ACM Press, 2001, pp. 67-76.
-
(2001)
Proceedings of the ACM SIGKDD Intentional Conference on Knowledge Discovery in Databases and Data Mining (KDD-01)
, pp. 67-76
-
-
DuMouchel, W.1
Pregibon, D.2
-
13
-
-
14844361816
-
Roc 'n' rule learning - towards a better understanding of covering algorithms
-
J. Fürnkranz and P.A. Flach, Roc 'n' rule learning - towards a better understanding of covering algorithms, Machine Learning 58 (2005), 39-77.
-
(2005)
Machine Learning
, vol.58
, pp. 39-77
-
-
Fürnkranz, J.1
Flach, P.A.2
-
14
-
-
27544478009
-
Advances in frequent itemset mining implementations: Report on FIMI'03
-
B. Goethals and M.J. Zaki, Advances in frequent itemset mining implementations: Report on FIMI'03, SIGKDD Explorations 6 (2004), 109-117.
-
(2004)
SIGKDD Explorations
, vol.6
, pp. 109-117
-
-
Goethals, B.1
Zaki, M.J.2
-
15
-
-
33748467598
-
A model-based frequency constraint for mining associations from transaction data
-
M. Hahsler, A model-based frequency constraint for mining associations from transaction data, Data Mining and Knowledge Discovery 13 (2006), 137-166.
-
(2006)
Data Mining and Knowledge Discovery
, vol.13
, pp. 137-166
-
-
Hahsler, M.1
-
16
-
-
41749088511
-
-
M. Hahsler, B. Grün and K. Hornik, arules: Mining Association Rules and Frequent Itemsets, 2006, URL, R package version 0.4-3
-
M. Hahsler, B. Grün and K. Hornik, arules: Mining Association Rules and Frequent Itemsets, 2006, URL http://cran.r-project.org/, R package version 0.4-3.
-
-
-
-
17
-
-
41749085795
-
-
M. Hahsler, K. Hornik and T. Reutterer, Implications of probabilistic data modeling for mining association rules, in: From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger and W. Gaul, eds, Springer-Verlag, 2006, Studies in Classification, Data Analysis, and Knowledge Organization, March 9-11, 2005, pp. 598-605.
-
M. Hahsler, K. Hornik and T. Reutterer, Implications of probabilistic data modeling for mining association rules, in: From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger and W. Gaul, eds, Springer-Verlag, 2006, Studies in Classification, Data Analysis, and Knowledge Organization, March 9-11, 2005, pp. 598-605.
-
-
-
-
18
-
-
0002784345
-
Algorithms for association rule mining - A general survey and comparison
-
J. Hipp, U. Güntzer and G. Nakhaeizadeh, Algorithms for association rule mining - A general survey and comparison, SIGKDD Explorations 2 (2000), 1-58.
-
(2000)
SIGKDD Explorations
, vol.2
, pp. 1-58
-
-
Hipp, J.1
Güntzer, U.2
Nakhaeizadeh, G.3
-
21
-
-
0003763748
-
-
2nd edition, John Wiley & Sons, New York
-
N.L. Johnson, S. Kotz and A.W. Kemp, Univariate Discrete Distributions, (2nd edition), John Wiley & Sons, New York, 1993.
-
(1993)
Univariate Discrete Distributions
-
-
Johnson, N.L.1
Kotz, S.2
Kemp, A.W.3
-
23
-
-
0001267179
-
Mining Association Rules with Multiple Minimum Supports
-
ACM Press
-
B. Liu, W. Hsu and Y. Ma, Mining Association Rules with Multiple Minimum Supports, in: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD-99), ACM Press, 1999, 337-341.
-
(1999)
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD-99)
, pp. 337-341
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
24
-
-
0242496221
-
Beyond independence: Probabilistic models for query approximation on binary transaction data
-
D. Pavlov, H. Mannila and P. Smyth, Beyond independence: Probabilistic models for query approximation on binary transaction data, IEEE Transactions on Knowledge and Data Engineering 15 (2003), 1409-1421.
-
(2003)
IEEE Transactions on Knowledge and Data Engineering
, vol.15
, pp. 1409-1421
-
-
Pavlov, D.1
Mannila, H.2
Smyth, P.3
-
25
-
-
0035283313
-
Robust classification for imprecise environments
-
F. Provost and T. Fawcett, Robust classification for imprecise environments, Machine Learning 42 (2001), 203-231.
-
(2001)
Machine Learning
, vol.42
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
28
-
-
12244259488
-
Mining strong affinity association patterns in data sets with skewed support distribution
-
B. Goethals and M.J. Zaki, eds, November 19-22, Melbourne, Florida, pp
-
H. Xiong, P.-N. Tan and V. Kumar, Mining strong affinity association patterns in data sets with skewed support distribution, in: Proceedings of the IEEE International Conference on Data Mining, B. Goethals and M.J. Zaki, eds, November 19-22, 2003, Melbourne, Florida, pp. 387-394.
-
(2003)
Proceedings of the IEEE International Conference on Data Mining
, pp. 387-394
-
-
Xiong, H.1
Tan, P.-N.2
Kumar, V.3
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