-
1
-
-
0347718066
-
Fast algorithms for projected clustering
-
Aggarwal, C. C., Wolf, J. L., Yu, P. S., Procopiuc, C., & Park, J. S. (1999). Fast algorithms for projected clustering. ACM SIGMOD Conference (pp. 61-72).
-
(1999)
ACM SIGMOD Conference
, pp. 61-72
-
-
Aggarwal, C.C.1
Wolf, J.L.2
Yu, P.S.3
Procopiuc, C.4
Park, J.S.5
-
2
-
-
0027621699
-
Mining associations between sets of items in massive databases
-
Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining associations between sets of items in massive databases. ACM-SIGMOD-1993 (pp. 207-216).
-
(1993)
ACM-SIGMOD-1993
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
3
-
-
0035007850
-
MAFIA: A maximal frequent itemset algorithm for transactional databases
-
Burdick, D., Calimlim, M., & Gehrke, J. (2001). MAFIA: A maximal frequent itemset algorithm for transactional databases. ICDE (pp. 443-452).
-
(2001)
ICDE
, pp. 443-452
-
-
Burdick, D.1
Calimlim, M.2
Gehrke, J.3
-
5
-
-
0030379749
-
Efficient mining of association rules in distributed databases
-
Cheung, D. W., Ng, V. T., Fu, A. W., & Fu, Y. J. (1996). Efficient mining of association rules in distributed databases. IEEE Trans. On Knowledge and Data Engineering, 8, 911-922.
-
(1996)
IEEE Trans. On Knowledge and Data Engineering
, vol.8
, pp. 911-922
-
-
Cheung, D.W.1
Ng, V.T.2
Fu, A.W.3
Fu, Y.J.4
-
6
-
-
0037909298
-
Towards real time discovery from distributed information sources
-
Cho, V., & Wuthrich, B. (1998). Towards real time discovery from distributed information sources. PAKDD.
-
(1998)
PAKDD
-
-
Cho, V.1
Wuthrich, B.2
-
8
-
-
84974698302
-
Context-based similarity methods for categorical attributes
-
Das, G., & Mannila, H. (2000). Context-based similarity methods for categorical attributes. PKDD (pp. 201-211).
-
(2000)
PKDD
, pp. 201-211
-
-
Das, G.1
Mannila, H.2
-
10
-
-
78149351437
-
Efficiently mining maximal frequent itemsets
-
Gouda, K., & Zaki, M. J. (2001). Efficiently mining maximal frequent itemsets. ICDM.
-
(2001)
ICDM
-
-
Gouda, K.1
Zaki, M.J.2
-
12
-
-
0001282382
-
Collective data mining: A new perspective toward distributed data mining
-
H. Kargupta and P. Chan (Eds.). AAAI/MIT
-
Kargupta, H., Park, B., Hershbereger, D., & Johnson, E. (2000). Collective data mining: A new perspective toward distributed data mining. In H. Kargupta and P. Chan (Eds.), Advances in distributed data mining, 133-184. AAAI/MIT.
-
(2000)
Advances in Distributed Data Mining
, pp. 133-184
-
-
Kargupta, H.1
Park, B.2
Hershbereger, D.3
Johnson, E.4
-
13
-
-
0030646558
-
Distributed data mining of probabilistic knowledge
-
Lam, W., & Segre, A. M. (1997). Distributed data mining of probabilistic knowledge. ICDCS.
-
(1997)
ICDCS
-
-
Lam, W.1
Segre, A.M.2
-
14
-
-
0038246856
-
Similarity testing between heterogeneous basket databases
-
Computer Science, Univ. of Rochester
-
Li, T., Ogihara, M., & Zhu, S. (2002). Similarity testing between heterogeneous basket databases (Technical Report 781). Computer Science, Univ. of Rochester.
-
(2002)
Technical Report
, vol.781
-
-
Li, T.1
Ogihara, M.2
Zhu, S.3
-
15
-
-
0037909286
-
Clustering distributed homogeneous datasets
-
Parthasarathy, S., & Ogihara, M. (2000). Clustering distributed homogeneous datasets. PKDD.
-
(2000)
PKDD
-
-
Parthasarathy, S.1
Ogihara, M.2
-
18
-
-
0010362181
-
-
Ph.lic. thesis, University of Helsinki. Available as Report C-1998-42, University of Helsinki, Department of Computer Science, October 1998
-
Ronkainen, R. (1998). Attribute similarity and event sequence similarity in data mining. Ph.lic. thesis, University of Helsinki. Available as Report C-1998-42, University of Helsinki, Department of Computer Science, October 1998.
-
(1998)
Attribute Similarity and Event Sequence Similarity in Data Mining
-
-
Ronkainen, R.1
-
19
-
-
0038246813
-
Defining diff as a data mining primitive
-
Subramonian, R. (1998). Defining diff as a data mining primitive. KDD.
-
(1998)
KDD
-
-
Subramonian, R.1
-
20
-
-
0037909280
-
A framework for finding distributed data mining strategies that are intermediate between centralized strategies and in-place strategies
-
Turinsky, A., & Grossman, R. (2000). A framework for finding distributed data mining strategies that are intermediate between centralized strategies and in-place strategies. Proc. of KDD Workshop on Distributed Data Mining.
-
(2000)
Proc. of KDD Workshop on Distributed Data Mining
-
-
Turinsky, A.1
Grossman, R.2
-
21
-
-
0030703799
-
Distributed cooperative bayesian learning strategies
-
New York: ACM
-
Yamanishi, K. (1997). Distributed cooperative bayesian learning strategies. Proceedings of COLT 97 (pp. 250-262). New York: ACM.
-
(1997)
Proceedings of COLT 97
, pp. 250-262
-
-
Yamanishi, K.1
-
23
-
-
0037909281
-
CoFD: An algorithm for non-distance based clustering in high dimensional spaces
-
Zhu, S., Li, T., & Ogihara, M. (2002). CoFD: An algorithm for non-distance based clustering in high dimensional spaces. DaWaK.
-
(2002)
DaWaK
-
-
Zhu, S.1
Li, T.2
Ogihara, M.3
|