-
1
-
-
0001371923
-
Fast discovery of association rules
-
AAAI/MIT Press
-
R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo. Fast discovery of association rules. In Advances in Knowledge Discovery and Data Mining, pages 307-328. AAAI/MIT Press, 1996.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.I.5
-
2
-
-
85013576689
-
Theory and applications of agnostic PAC-learning with small decision trees
-
P. Auer, R. C. Holte, and W. Maass. Theory and applications of agnostic PAC-learning with small decision trees. In ICML, pages 21-29, 1995.
-
(1995)
ICML
, pp. 21-29
-
-
Auer, P.1
Holte, R.C.2
Maass, W.3
-
3
-
-
36849009814
-
-
and, editors, CEUR-WS.org
-
R. J. Bayardo, B. Goethals, and M. J. Zaki, editors. FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, volume 126 of CEUR Workshop Proceedings. CEUR-WS.org, 2004.
-
(2004)
FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, volume 126 of CEUR Workshop Proceedings
-
-
-
4
-
-
33847623752
-
Optimal dyadic decision trees
-
G. Blanchard, C. Schäfer, Y. Rozenholc, and K. R. Müller. Optimal dyadic decision trees. Machine Learning, 66(2-3):209-241, 2007.
-
(2007)
Machine Learning
, vol.66
, Issue.2-3
, pp. 209-241
-
-
Blanchard, G.1
Schäfer, C.2
Rozenholc, Y.3
Müller, K.R.4
-
5
-
-
0037243046
-
Free-sets: A condensed representation of boolean data, for the approximation of frequency queries
-
J.-F. Boulicaut, A. Bykowski, and C. Rigotti. Free-sets: A condensed representation of boolean data, for the approximation of frequency queries. Data Mining and Knowledge Discovery, 7(1):5-22, 2003.
-
(2003)
Data Mining and Knowledge Discovery
, vol.7
, Issue.1
, pp. 5-22
-
-
Boulicaut, J.-F.1
Bykowski, A.2
Rigotti, C.3
-
6
-
-
0008562343
-
Applying the waek learning framework to understand and improve C4.5
-
T. G. Dietterich, M. J. Kearns, and Y. Mansour. Applying the waek learning framework to understand and improve C4.5. In ICML, pages 96-104, 1996.
-
(1996)
ICML
, pp. 96-104
-
-
Dietterich, T.G.1
Kearns, M.J.2
Mansour, Y.3
-
9
-
-
0015403290
-
Optimal binary identification procedures
-
M. R. Garey. Optimal binary identification procedures. SIAM Journal of Applied Mathematics, 23(2):173-186, 1972.
-
(1972)
SIAM Journal of Applied Mathematics
, vol.23
, Issue.2
, pp. 173-186
-
-
Garey, M.R.1
-
10
-
-
0037287440
-
Building decision trees with constraints
-
M. N. Garofalakis, D. Hyun, R. Rastogi, and K. Shim. Building decision trees with constraints. Data Mining and Knowledge Discovery, 7(2): 187-214, 2003.
-
(2003)
Data Mining and Knowledge Discovery
, vol.7
, Issue.2
, pp. 187-214
-
-
Garofalakis, M.N.1
Hyun, D.2
Rastogi, R.3
Shim, K.4
-
12
-
-
0001815269
-
Constructing optimal binary decision trees is NP-complete
-
L. Hyafil and R. L. Rivest. Constructing optimal binary decision trees is NP-complete. Information Processing Letters, 5(1):15-17, 1976.
-
(1976)
Information Processing Letters
, vol.5
, Issue.1
, pp. 15-17
-
-
Hyafil, L.1
Rivest, R.L.2
-
14
-
-
0033075132
-
On the boosting ability of top-down decision tree learning algorithms
-
M. J. Kearns and Y. Mansour. On the boosting ability of top-down decision tree learning algorithms. Journal of Computer and System Sciences, 58(1):109-128, 1999.
-
(1999)
Journal of Computer and System Sciences
, vol.58
, Issue.1
, pp. 109-128
-
-
Kearns, M.J.1
Mansour, Y.2
-
15
-
-
0017960902
-
Optimal conversion of extended-entry decision tables with general cost criteria
-
A. Lew. Optimal conversion of extended-entry decision tables with general cost criteria. Communications of the ACM, 21(4):269-279, 1978.
-
(1978)
Communications of the ACM
, vol.21
, Issue.4
, pp. 269-279
-
-
Lew, A.1
-
16
-
-
0015562555
-
A partitioning algorithm with application in pattern classification and the optimization of decision tree
-
W. S. Meisel and D. Michalopoulos. A partitioning algorithm with application in pattern classification and the optimization of decision tree. IEEE Trans. Comput., C-22:93-103, 1973.
-
(1973)
IEEE Trans. Comput
, vol.C-22
, pp. 93-103
-
-
Meisel, W.S.1
Michalopoulos, D.2
-
19
-
-
0042847140
-
Inference for the generalization error
-
C. Nadeau and Y. Bengio. Inference for the generalization error. Machine Learning, 52(3):239-281, 2003.
-
(2003)
Machine Learning
, vol.52
, Issue.3
, pp. 239-281
-
-
Nadeau, C.1
Bengio, Y.2
-
21
-
-
36849073809
-
Mining optimal decision trees from itemset lattices
-
Technical report CW476, Dept. Computer Science, Katholieke Universiteit Leuven, March
-
S. Nijssen and E. Fromont. Mining optimal decision trees from itemset lattices. Technical report CW476, Dept. Computer Science, Katholieke Universiteit Leuven, March 2007.
-
(2007)
-
-
Nijssen, S.1
Fromont, E.2
-
23
-
-
0033096890
-
Efficient mining of association rules using closed itemset lattices
-
N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal. Efficient mining of association rules using closed itemset lattices. Information Systems, 24(1):25-46, 1999.
-
(1999)
Information Systems
, vol.24
, Issue.1
, pp. 25-46
-
-
Pasquier, N.1
Bastide, Y.2
Taouil, R.3
Lakhal, L.4
-
24
-
-
0017532953
-
An algorithm for constructing optimal binary decision trees
-
H. J. Payne and W. S. Meisel. An algorithm for constructing optimal binary decision trees. IEEE Trans. Computers, 26(9):905-916, 1977.
-
(1977)
IEEE Trans. Computers
, vol.26
, Issue.9
, pp. 905-916
-
-
Payne, H.J.1
Meisel, W.S.2
-
25
-
-
0042346121
-
Tree induction for probability-based ranking
-
F. Provost and P. Domingos. Tree induction for probability-based ranking. Machine Learning, 52:199-215, 2003.
-
(2003)
Machine Learning
, vol.52
, pp. 199-215
-
-
Provost, F.1
Domingos, P.2
-
28
-
-
0016962124
-
The synthetic approach to decision table conversion
-
H. Schumacher and K. C. Sevcik. The synthetic approach to decision table conversion. Communications of the ACM, 19(6):343-351, 1976.
-
(1976)
Communications of the ACM
, vol.19
, Issue.6
, pp. 343-351
-
-
Schumacher, H.1
Sevcik, K.C.2
-
29
-
-
36849004066
-
-
T. Uno, M. Kiyomi, and H. Arimura. LCM ver. 2: Efficient mining algorithms for frequent/closed/maximal itemsets. In [3], 2004.
-
T. Uno, M. Kiyomi, and H. Arimura. LCM ver. 2: Efficient mining algorithms for frequent/closed/maximal itemsets. In [3], 2004.
-
-
-
-
31
-
-
32344439809
-
Summarizing itemset patterns: A profile-based approach
-
X. Yan, H. Cheng, J. Han, and D. Xin. Summarizing itemset patterns: a profile-based approach. In Proceeding of the conference on Knowledge Discovery and Data Mining (SIGKDD'05), pages 314-323, 2005.
-
(2005)
Proceeding of the conference on Knowledge Discovery and Data Mining (SIGKDD'05)
, pp. 314-323
-
-
Yan, X.1
Cheng, H.2
Han, J.3
Xin, D.4
-
32
-
-
85138646379
-
New algorithms for fast discovery of association rules
-
M. J. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. New algorithms for fast discovery of association rules. In Proceeding of the conference on Knowledge Discovery and Data Mining (SIGKDD'97), pages 283-286, 1997.
-
(1997)
Proceeding of the conference on Knowledge Discovery and Data Mining (SIGKDD'97)
, pp. 283-286
-
-
Zaki, M.J.1
Parthasarathy, S.2
Ogihara, M.3
Li, W.4
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