-
1
-
-
12244313034
-
Approximating a collection of frequent sets
-
Seattle, WA, August
-
F. N. Afrati, A. Gionis, and H. Mannila. Approximating a Collection of Frequent Sets. In Proc. 10th Int. Conf. on Knowledge Discovery and Data Mining (KDD'04): pages 12-19, Seattle, WA, August 2004.
-
(2004)
Proc. 10th Int. Conf. on Knowledge Discovery and Data Mining (KDD'04)
, pp. 12-19
-
-
Afrati, F.N.1
Gionis, A.2
Mannila, H.3
-
2
-
-
0027621699
-
Mining association rules between sets of items in large database
-
May Washington DC, USA.
-
R. Agrawal, T. Imielinski, and A. Swami. Mining Association Rules between Sets of Items in Large Database. ACM SIGMOD, 22(2):207-216, May 1993. Washington DC, USA.
-
(1993)
ACM SIGMOD
, vol.22
, Issue.2
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
3
-
-
0003878763
-
-
North Holland, Amsterdam
-
C. Berge. Hypergraph. North Holland, Amsterdam, 1989.
-
(1989)
Hypergraph
-
-
Berge, C.1
-
5
-
-
0042209912
-
Model-based clustering and visualization of navigation patterns on a web site
-
I. V. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White. Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Mining and Knowledge Discovery, 7(4):399-424, 2003.
-
(2003)
Data Mining and Knowledge Discovery
, vol.7
, Issue.4
, pp. 399-424
-
-
Cadez, I.V.1
Heckerman, D.2
Meek, C.3
Smyth, P.4
White, S.5
-
6
-
-
0035789293
-
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction
-
San Francisco, California, USA, August
-
I. V. Cadez, P. Smyth, and H. Mannila. Probabilistic Modeling of Transaction Data with Applications to Profiling, Visualization, and Prediction. In Proc. 7th Int. Conf. on Knowledge Discovery and Data Mining (KDD'01), pages 37-46, San Francisco, California, USA, August 2001.
-
(2001)
Proc. 7th Int. Conf. on Knowledge Discovery and Data Mining (KDD'01)
, pp. 37-46
-
-
Cadez, I.V.1
Smyth, P.2
Mannila, H.3
-
7
-
-
0003488008
-
-
S. K. Card, J.D. Makinlay, and B. Shneiderman, editors. Morgan Kaufmann, San Francisco
-
S. K. Card, J.D. Makinlay, and B. Shneiderman, editors. Readings in Information Visualization. Morgan Kaufmann, San Francisco, 1999.
-
(1999)
Readings in Information Visualization
-
-
-
9
-
-
0000251093
-
Identifying the minimal transversals of a hypergraph and related problems
-
T. Eiter and G. Gottlob. Identifying the Minimal Transversals of a Hypergraph and Related Problems. SIAM Journal on Computing Archive, 24(6):1278-1304, 1995.
-
(1995)
SIAM Journal on Computing Archive
, vol.24
, Issue.6
, pp. 1278-1304
-
-
Eiter, T.1
Gottlob, G.2
-
10
-
-
0012834533
-
Why so many clustering algorithms - A position paper
-
June
-
V. Estivill-Castro. Why So Many Clustering Algorithms - A Position Paper. ACM SIGKDD Explorations, 4(1):65-75, June 2002.
-
(2002)
ACM SIGKDD Explorations
, vol.4
, Issue.1
, pp. 65-75
-
-
Estivill-Castro, V.1
-
12
-
-
28444438828
-
Clustering aggregation
-
Tokyo, Japan, April
-
A. Gionis, H. Mannila, and P. Tsaparas. Clustering Aggregation. In Proc. 21st Int. Conf. on Data Engineering (ICDE05), pages 341-352, Tokyo, Japan, April 2005.
-
(2005)
Proc. 21st Int. Conf. on Data Engineering (ICDE05)
, pp. 341-352
-
-
Gionis, A.1
Mannila, H.2
Tsaparas, P.3
-
13
-
-
0030642745
-
Data mining. Hypergraph transversals, and machine learning
-
Tucson, Arizona. May
-
D. Gunopulos, R. Khardon, H. Mannila, and H. Toivonen. Data Mining. Hypergraph Transversals, and Machine Learning. In Proc. 16th Symposium on Principles of Database Systems (PODS'97), pages 209-216, Tucson, Arizona. May 1997.
-
(1997)
Proc. 16th Symposium on Principles of Database Systems (PODS'97)
, pp. 209-216
-
-
Gunopulos, D.1
Khardon, R.2
Mannila, H.3
Toivonen, H.4
-
15
-
-
0002784345
-
Algorithms for association rule mining - A general survey and comparison
-
J. Hipp, H. Güntzer, and G. Nakhaeizadeh. Algorithms for Association Rule Mining - A General Survey and Comparison. SIGKDD Explorations, 2(1):58-64, 2000.
-
(2000)
SIGKDD Explorations
, vol.2
, Issue.1
, pp. 58-64
-
-
Hipp, J.1
Güntzer, H.2
Nakhaeizadeh, G.3
-
17
-
-
33646386383
-
A Bi-clustering framework for categorical data
-
Porto, Portugal, October
-
R. Pensa, C. Robardet, and J-F. Boulicaut. A Bi-clustering Framework for Categorical Data. In Proc. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), pages 643-650, Porto, Portugal, October 2005.
-
(2005)
Proc. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05)
, pp. 643-650
-
-
Pensa, R.1
Robardet, C.2
Boulicaut, J.-F.3
-
18
-
-
24644453534
-
Detecting interesting exceptions from medical test data with visual summarization
-
E. Suzuki, T. Watanabe, H. Yokoi, and K. Takabayashi. Detecting Interesting Exceptions from Medical Test Data with Visual Summarization. In Proc. 3rd IEEE International Conf. on Data Mining (ICDM'03), pages 315-322, 2003.
-
(2003)
Proc. 3rd IEEE International Conf. on Data Mining (ICDM'03)
, pp. 315-322
-
-
Suzuki, E.1
Watanabe, T.2
Yokoi, H.3
Takabayashi, K.4
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