-
3
-
-
0001371923
-
Fast Discovery of Association Rules
-
U Fayyad et al. (eds.), AAAI Press
-
R Agrawal, H Mannila, R Srikant, H Toivonen, AI Verkamo: Fast Discovery of Association Rules. In: Advances in Knowledge Discovery and Data Mining, U Fayyad et al. (eds.), AAAI Press 1996, 307-328.
-
(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
-
4
-
-
85200640822
-
Construction and Learnability of Canonical Horn Formulas
-
Pre-liminary version in ALT'2009
-
M Arias, JL Balcfiazar: Construction and Learnability of Canonical Horn Formulas. Submitted. Pre-liminary version in ALT'2009.
-
Submitted
-
-
Arias, J.L.1
Balcfiazar, M.2
-
6
-
-
56749169441
-
Deduction Schemes for Association Rules
-
J L Balcfiazar: Deduction Schemes for Association Rules. Discovery Science 2008, 124-135.
-
(2008)
Discovery Science
, pp. 124-135
-
-
Balcfiazar, J.L.1
-
9
-
-
0037243046
-
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
-
J-F Boulicaut, A Bykowski, C Rigotti: Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries. Data Min. Knowl. Discov. 7, 1 (2003), 5-22.
-
(2003)
Data Min. Knowl. Discov
, vol.7
, Issue.1
, pp. 5-22
-
-
Boulicaut, J.-F.1
Bykowski, A.2
Rigotti, C.3
-
15
-
-
0000079650
-
Structure Identification in Relational Data
-
R Dechter, J Pearl: Structure Identification in Relational Data. Artificial Intelligence 58 (1992), 237-270.
-
(1992)
Artificial Intelligence
, vol.58
, pp. 237-270
-
-
Dechter, R.1
Pearl, J.2
-
16
-
-
0000251093
-
Identifying the Minimal Transversals of a Hypergraph and Related Problems
-
T Eiter, G Gottlob: Identifying the Minimal Transversals of a Hypergraph and Related Problems. SIAM J. Comput. 24 (1995), 1278-1304.
-
(1995)
SIAM J. Comput
, vol.24
, pp. 1278-1304
-
-
Eiter, T.1
Gottlob, G.2
-
18
-
-
0242647897
-
Understanding the Crucial Difierences between Classification and Discovery of Association Rules
-
A Freitas: Understanding the Crucial Difierences between Classification and Discovery of Association Rules. SIGKDD Explorations, 2 (2000), 65-69.
-
(2000)
SIGKDD Explorations
, vol.2
, pp. 65-69
-
-
Freitas, A.1
-
20
-
-
85017405682
-
Statistical Strategies for Pruning All the Uninteresting Association Rules
-
G C Garriga: Statistical Strategies for Pruning All the Uninteresting Association Rules. ECAI 2004, 430-434.
-
(2004)
ECAI
, pp. 430-434
-
-
Garriga, G.C.1
-
21
-
-
85200643717
-
Hamilton: Interestingness Measures for Data Mining: A Survey
-
L Geng, H J Hamilton: Interestingness Measures for Data Mining: A Survey. ACM Computing Surveys 38 (2006).
-
(2006)
ACM Computing Surveys
, pp. 38
-
-
Geng, L.1
Hamilton, H.J.2
-
23
-
-
0002819235
-
Famille minimale d'implications informatives rfiesultant d'un tableau de donnfiees binaires
-
J-L Guigues, V Duquenne: Famille minimale d'implications informatives rfiesultant d'un tableau de donnfiees binaires. Mathfiematiques et Sciences Humaines 24 (1986), 5-18.
-
(1986)
Mathfiematiques Et Sciences Humaines
, vol.24
, pp. 5-18
-
-
Guigues, J.-L.1
Duquenne, V.2
-
24
-
-
0348220549
-
Discovering All Most Specific Sentences
-
D Gunopulos, R Khardon, H Mannila, S Saluja, H Toivonen, RS Sharma: Discovering All Most Specific Sentences. ACM Trans. Database Syst., 28 (2003), 140-174.
-
(2003)
ACM Trans. Database Syst
, vol.28
, pp. 140-174
-
-
Gunopulos, D.1
Khardon, R.2
Mannila, H.3
Saluja, S.4
Toivonen, H.5
Sharma, R.S.6
-
29
-
-
0345817933
-
Concise Representations of Association Rules
-
LNCS 2447
-
M Kryszkiewicz: Concise Representations of Association Rules. Pattern Detection and Discovery 2002 (LNCS 2447), 187-203.
-
(2002)
Pattern Detection and Discovery
, pp. 187-203
-
-
Kryszkiewicz, M.1
-
30
-
-
84888276854
-
Hamilton: Basic Association Rules
-
G Li, H Hamilton: Basic Association Rules. SDM 2004.
-
(2004)
SDM
-
-
Li, G.1
Hamilton, H.2
-
31
-
-
0001267179
-
Pruning and Summarizing the Discovered Associations
-
B Liu, W Hsu, Y Ma: Pruning and Summarizing the Discovered Associations. KDD 1999, 125-134.
-
(1999)
KDD
, pp. 125-134
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
32
-
-
0034593061
-
Multi-Level Organization and Summarization of the Discovered Rules
-
B Liu, M Hu, W Hsu: Multi-Level Organization and Summarization of the Discovered Rules. KDD 2000, 208-217.
-
(2000)
KDD
, pp. 208-217
-
-
Liu, B.1
Hu, H.2
Hsu, W.3
-
34
-
-
85040378256
-
Discovering Predictive Association Rules
-
N Megiddo, R Srikant: Discovering Predictive Association Rules. KDD 1998, 274-278
-
(1998)
KDD
, pp. 274-278
-
-
Megiddo, N.1
Srikant, R.2
-
35
-
-
33750283829
-
Closed Non-Derivable Itemsets
-
J Muhonen, H Toivonen: Closed Non-Derivable Itemsets. PKDD 2006, 601-608.
-
(2006)
PKDD
, pp. 601-608
-
-
Muhonen, J.1
Toivonen, H.2
-
36
-
-
17444386019
-
Generating a Condensed Representation for Association Rules
-
N Pasquier, R Taouil, Y Bastide, G Stumme, L Lakhal: Generating a Condensed Representation for Association Rules. Journal of Intelligent Information Systems 24 (2005), 29-60.
-
(2005)
Journal of Intelligent Information Systems
, vol.24
, pp. 29-60
-
-
Pasquier, N.1
Taouil, R.2
Bastide, Y.3
Stumme, G.4
Lakhal, L.5
-
38
-
-
11944266142
-
The Representative Basis for Association Rules
-
V Phan-Luong: The Representative Basis for Association Rules. ICDM 2001, 639-640.
-
(2001)
ICDM
, pp. 639-640
-
-
Phan-Luong, V.1
-
39
-
-
84864419637
-
The Closed Keys Base of Frequent Itemsets
-
V Phan-Luong: The Closed Keys Base of Frequent Itemsets. DaWaK 2002, 181-190.
-
(2002)
DaWaK
, pp. 181-190
-
-
Phan-Luong, V.1
-
42
-
-
0242456825
-
Querying Multiple Sets of Discovered Rules
-
A Tuzhilin, B Liu: Querying Multiple Sets of Discovered Rules. KDD 2002, 52-60.
-
(2002)
KDD
, pp. 52-60
-
-
Tuzhilin, A.1
Liu, B.2
-
43
-
-
0011603823
-
A Theory of Finite Closure Spaces Based on Implications
-
M Wild: A Theory of Finite Closure Spaces Based on Implications. Advances in Mathematics 108 (1994), 118-139.
-
(1994)
Advances In Mathematics
, vol.108
, pp. 118-139
-
-
Wild, M.1
-
44
-
-
4444337294
-
Mining Non-Redundant Association Rules
-
M Zaki: Mining Non-Redundant Association Rules. Data Mining and Knowledge Discovery 9 (2004), 223-248.
-
(2004)
Data Mining and Knowledge Discovery
, vol.9
, pp. 223-248
-
-
Zaki, M.1
|