-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Washington, DC
-
R. Agrawal, T. Imielinski and A. Swami, Mining association rules between sets of items in large databases, in: ACM-SIGMOD, Washington, DC (1993) pp. 207-216.
-
(1993)
ACM-SIGMOD
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
2
-
-
0342363454
-
Parallel mining of association rules: Design, implementation and experience
-
R. Agrawal and J.C. Shafer, Parallel mining of association rules: Design, implementation and experience, IBM Research Report RJ 10004 (1996).
-
(1996)
IBM Research Report RJ
, pp. 10004
-
-
Agrawal, R.1
Shafer, J.C.2
-
5
-
-
0346231031
-
Towards efficient metaquerying
-
San Mateo, CA
-
R. Ben-Eliyahu-Zohary and E. Gudes, Towards efficient metaquerying, in: IJCAI-99, San Mateo, CA (1999) pp. 800-805.
-
(1999)
IJCAI-99
, pp. 800-805
-
-
Ben-Eliyahu-Zohary, R.1
Gudes, E.2
-
6
-
-
0042388782
-
Metaqueries: Semantics, complexity, and efficient algorithms
-
R. Ben-Eliyahu-Zohary, E. Gudes and G.B. Ianni, Metaqueries: Semantics, complexity, and efficient algorithms, Artificial Intelligence (2003).
-
(2003)
Artificial Intelligence
-
-
Ben-Eliyahu-Zohary, R.1
Gudes, E.2
Ianni, G.B.3
-
7
-
-
0000675721
-
Context-specific independence in Bayesian networks
-
Morgan Kaufmann, San Mateo, CA
-
C. Boutilier, N. Friedman, M. Goldszmidt and D. Koller, Context-specific independence in Bayesian networks, in: Uncertainty in Artificial Intelligence, Proceedings of the 12th Conference (Morgan Kaufmann, San Mateo, CA, 1996) pp. 115-123.
-
(1996)
Uncertainty in Artificial Intelligence, Proceedings of the 12th Conference
, pp. 115-123
-
-
Boutilier, C.1
Friedman, N.2
Goldszmidt, M.3
Koller, D.4
-
8
-
-
85047342259
-
MineSet: An integrated system for data mining
-
C. Brunk, J. Kelly and R. Kohavi, MineSet: An integrated system for data mining, in: KDD-97 (1997) pp. 135-138.
-
(1997)
KDD-97
, pp. 135-138
-
-
Brunk, C.1
Kelly, J.2
Kohavi, R.3
-
10
-
-
84947571473
-
An integrated query and mining system for temporal association rules
-
London, UK
-
X. Chen and I. Petrounias, An integrated query and mining system for temporal association rules, in: 2nd Int. DAWAK Conference, London, UK (2000) pp. 327-336.
-
(2000)
2nd Int. DAWAK Conference
, pp. 327-336
-
-
Chen, X.1
Petrounias, I.2
-
11
-
-
4043153253
-
-
Ben-Gurion University
-
C. Domshlak, D. Gershkovich, E. Gudes, N. Liusternik, A. Meisels, T. Rosen and S.E. Shimony, FlexiMine - a flexible platform for KDD research and application construction, Technical Report FC-98-04, Ben-Gurion University (1998).
-
(1998)
FlexiMine - A Flexible Platform for KDD Research and Application Construction, Technical Report FC-98-04
-
-
Domshlak, C.1
Gershkovich, D.2
Gudes, E.3
Liusternik, N.4
Meisels, A.5
Rosen, T.6
Shimony, S.E.7
-
12
-
-
0348122175
-
Knowledge discovery with FlexiMine
-
Standford, CT (September)
-
C. Domshlak, T. Rosen, E. Shiller and S.E. Shimony, Knowledge discovery with FlexiMine, in: AIMTRW-98, AI Meets the Real World Conference, Standford, CT (September 1998).
-
(1998)
AIMTRW-98, AI Meets the Real World Conference
-
-
Domshlak, C.1
Rosen, T.2
Shiller, E.3
Shimony, S.E.4
-
14
-
-
0003635251
-
-
MIT Press, Cambridge, MA
-
A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek and V. Sunderam, PVM: Parallel Virtual Machine. A User's Guide and Tutorial for Networked Parallel Computing (MIT Press, Cambridge, MA, 1994).
-
(1994)
Virtual Machine. A User's Guide and Tutorial for Networked Parallel Computing
-
-
Geist, A.1
Beguelin, A.2
Dongarra, J.3
Jiang, W.4
Manchek, R.5
Sunderam, V.6
Parallel, P.V.M.7
-
17
-
-
84947563969
-
Discovering temporal patterns for interval-based events
-
London, UK
-
P.-S. Kam and A.W.-C. Fu, Discovering temporal patterns for interval-based events, in: 2nd Int. DAWAK Conference, London, UK (2000) pp. 317-326.
-
(2000)
2nd Int. DAWAK Conference
, pp. 317-326
-
-
Kam, P.-S.1
Fu, A.W.-C.2
-
19
-
-
0003113325
-
Finding interesting rules from large sets of discovered association rules
-
M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen and A.I. Verkamo, Finding interesting rules from large sets of discovered association rules, in: IKM-94 (1994).
-
(1994)
IKM-94
-
-
Klemettinen, M.1
Mannila, H.2
Ronkainen, P.3
Toivonen, H.4
Verkamo, A.I.5
-
21
-
-
0030269677
-
Visualization support for data mining
-
October
-
H.-Y. Lee and H.-L. Ong, Visualization support for data mining, IEEE Expert (October 1996) 69-75.
-
(1996)
IEEE Expert
, pp. 69-75
-
-
Lee, H.-Y.1
Ong, H.-L.2
-
25
-
-
84976830511
-
An effective hash-based algorithm for mining association rules
-
San Jose, CA
-
J.S. Pack, M.-S. Chen and P.S. Yu, An effective hash-based algorithm for mining association rules, in: ACM-SIGMOD, San Jose, CA (1995).
-
(1995)
ACM-SIGMOD
-
-
Pack, J.S.1
Chen, M.-S.2
Yu, P.S.3
-
27
-
-
0001283345
-
The interestingness of deviations
-
AAAI Press, Menlo Park, CA
-
G. Piatetsky-Shapiro and C. Matheus, The interestingness of deviations, in: Proc. of KDD94 (AAAI Press, Menlo Park, CA, 1994).
-
(1994)
Proc. of KDD94
-
-
Piatetsky-Shapiro, G.1
Matheus, C.2
-
28
-
-
33744584654
-
Induction of decision trees
-
J.R. Quinlan, Induction of decision trees, Machine Learning 1 (1986) 81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
29
-
-
85027178264
-
Generating production rules from decision trees
-
San Mateo, CA
-
J.R. Quinlan, Generating production rules from decision trees, in: IJCM-87, San Mateo, CA (1987) pp. 304-307.
-
(1987)
IJCM-87
, pp. 304-307
-
-
Quinlan, J.R.1
-
34
-
-
0030394305
-
A metapattern-based automated discovery loop for integrated data mining-unsupervised learning of relational patterns
-
W.-M. Shen and B. Leng, A metapattern-based automated discovery loop for integrated data mining-unsupervised learning of relational patterns, IEEE Transactions on Knowledge and Data Engineering 8(6) (1996) 898-910.
-
(1996)
IEEE Transactions on Knowledge and Data Engineering
, vol.8
, Issue.6
, pp. 898-910
-
-
Shen, W.-M.1
Leng, B.2
-
35
-
-
0008520954
-
Metaqueries for data mining
-
eds. U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (AAAI/MIT Press, Cambridge, MA)
-
W.-M. Shen, K. Ong, B. Mitbander and C. Zaniolo, Metaqueries for data mining, in: Advances in Knowledge Discovery and Data Mining, eds. U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (AAAI/MIT Press, Cambridge, MA, 1996) 375-397.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 375-397
-
-
Shen, W.-M.1
Ong, K.2
Mitbander, B.3
Zaniolo, C.4
-
36
-
-
0012758912
-
Cost-sharing in Bayesian knowledge bases
-
S. Shimony, C. Domshlak and E. Santos, Jr., Cost-sharing in Bayesian knowledge bases, in: UAI-97, Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence (1997) pp. 421-428.
-
(1997)
UAI-97, Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence
, pp. 421-428
-
-
Shimony, S.1
Domshlak, C.2
Santos Jr., E.3
-
37
-
-
0348122172
-
Explanation, irrelevance and statistical independence
-
S.E. Shimony, Explanation, irrelevance and statistical independence, in: AAAI Proceedings (1991) pp. 482-487.
-
(1991)
AAAI Proceedings
, pp. 482-487
-
-
Shimony, S.E.1
-
38
-
-
43949170056
-
The role of relevance in explanation I: Irrelevance as statistical independence
-
S.E. Shimony, The role of relevance in explanation I: Irrelevance as statistical independence, International Journal of Approximate Reasoning 8(4) (1993) 281-324.
-
(1993)
International Journal of Approximate Reasoning
, vol.8
, Issue.4
, pp. 281-324
-
-
Shimony, S.E.1
-
39
-
-
0342895946
-
The role of relevance in explanation II: Disjunctive assignments and approximate independence
-
S.E. Shimony, The role of relevance in explanation II: Disjunctive assignments and approximate independence, International Journal of Approximate Reasoning, 13(1) (1995) 27-60.
-
(1995)
International Journal of Approximate Reasoning
, vol.13
, Issue.1
, pp. 27-60
-
-
Shimony, S.E.1
-
41
-
-
0031246271
-
Decision tree induction based on efficient tree restructuring
-
P.E. Utgoff, N.C. Berkman and J.A. Clouse, Decision tree induction based on efficient tree restructuring, Machine Learning 29(1) (1997) 5-14.
-
(1997)
Machine Learning
, vol.29
, Issue.1
, pp. 5-14
-
-
Utgoff, P.E.1
Berkman, N.C.2
Clouse, J.A.3
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