-
3
-
-
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 Advances in Knowledge Discovery and Data Mining 1996 AAAI/MIT Press 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
-
-
0001882616
-
Fast algorithms for mining association rules
-
VLDB, Morgan-Kaufmann, 12-15
-
R. Agrawal, R. Srikant, Fast algorithms for mining association rules. in: Proc. 20th Int. Conf. Very Large Data Bases, VLDB, Morgan-Kaufmann, 12-15 1994, pp. 487-499.
-
(1994)
Proc. 20th Int. Conf. Very Large Data Bases
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
5
-
-
33748272679
-
First order random forests: Learning relational classifiers with complex aggregates
-
A. Assche, C. Vens, H. Blockeel, and S. Deroski First order random forests: learning relational classifiers with complex aggregates Mach. Learn. 64 1-3 2006 149 182
-
(2006)
Mach. Learn.
, vol.64
, Issue.13
, pp. 149-182
-
-
Assche, A.1
Vens, C.2
Blockeel, H.3
Deroski, S.4
-
6
-
-
0027902061
-
Bristol, the induction of rules for predicting chemical carcinogenesis in rodents
-
AAAI Press
-
Dennis Bahler, Douglas W. Bristol, The induction of rules for predicting chemical carcinogenesis in rodents, in: Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, AAAI Press, 1993, pp. 29-37.
-
(1993)
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
, pp. 29-37
-
-
Dennis, B.1
Douglas, W.2
-
7
-
-
0026612818
-
Prospective ke screening of potential carcinogens being tested in rodent bioassays by the US National Toxicology Program
-
George Bakale, and Richard D. McCreary Prospective ke screening of potential carcinogens being tested in rodent bioassays by the US National Toxicology Program Mutagenesis 7 2 1992 91 94
-
(1992)
Mutagenesis
, vol.7
, Issue.2
, pp. 91-94
-
-
Bakale, G.1
McCreary, R.D.2
-
8
-
-
23044517681
-
Constraint-based rule mining in large, dense databases
-
R.J. Bayardo, R. Agrawal, and D. Gunopulos Constraint-based rule mining in large, dense databases Data Min. Knowl. Discovery 4 2-3 2000 217 240
-
(2000)
Data Min. Knowl. Discovery
, vol.4
, Issue.23
, pp. 217-240
-
-
Bayardo, R.J.1
Agrawal, R.2
Gunopulos, D.3
-
9
-
-
0028873540
-
Predicting chemical carcinogenesis in rodents: The state of the art in light of a comparative exercise
-
Romualdo Benigni Predicting chemical carcinogenesis in rodents: the state of the art in light of a comparative exercise Mutat. Res. Environ. Mutagen. Relat. Subj. 334 1 1995 103 113
-
(1995)
Mutat. Res. Environ. Mutagen. Relat. Subj.
, vol.334
, Issue.1
, pp. 103-113
-
-
Benigni, R.1
-
10
-
-
58349083054
-
A phenotypic genetic algorithm for inductive logic programming
-
Y.C. Chien, and Y. Chen A phenotypic genetic algorithm for inductive logic programming Expert Syst. Appl. 36 3 2009 6935 6944
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.3
, pp. 6935-6944
-
-
Chien, Y.C.1
Chen, Y.2
-
12
-
-
84957890121
-
Mining association rules in multiple relations
-
Springer-Verlag, London, UK
-
L. Dehaspe, L. De Raedt, Mining association rules in multiple relations, in: ILP'97: Proceedings of the 7th International Workshop on Inductive Logic Programming, Springer-Verlag, London, UK, 1997, pp. 125-132.
-
(1997)
ILP'97: Proceedings of the 7th International Workshop on Inductive Logic Programming
, pp. 125-132
-
-
Dehaspe, L.1
De Raedt, L.2
-
13
-
-
33947709517
-
Discovery of relational association rules
-
L. Dehaspe, and H. Toivonen Discovery of relational association rules S. Deroski, N. Lavra, Relational Data Mining 2001 Springer-Verlag 189 212
-
(2001)
Relational Data Mining
, pp. 189-212
-
-
Dehaspe, L.1
Toivonen, H.2
-
14
-
-
84880088183
-
Finding frequent substructures in chemical compounds
-
AAAI Press
-
L. Dehaspe, H. Toivonen, R.D. King, Finding frequent substructures in chemical compounds, in: 4th International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1998, pp. 30-36.
-
(1998)
4th International Conference on Knowledge Discovery and Data Mining
, pp. 30-36
-
-
Dehaspe, L.1
Toivonen, H.2
King, R.D.3
-
15
-
-
0003323974
-
The application of inductive logic programming to finite element mesh design
-
B. Dolsak, and S. Muggleton The application of inductive logic programming to finite element mesh design S. Muggleton, Inductive Logic Programming 1992 Academic Press London
-
(1992)
Inductive Logic Programming
-
-
Dolsak, B.1
Muggleton, S.2
-
16
-
-
0036643227
-
Finite element mesh design expert system
-
Bojan Dolsak Finite element mesh design expert system Knowl. Based Syst. 15 8 2002 315 322
-
(2002)
Knowl. Based Syst.
, vol.15
, Issue.8
, pp. 315-322
-
-
Dolsak, B.1
-
17
-
-
19544385737
-
Prospects and challenges for multi-relational data mining
-
P. Domingos Prospects and challenges for multi-relational data mining SIGKDD Explor. 5 2003 80 81
-
(2003)
SIGKDD Explor.
, vol.5
, pp. 80-81
-
-
Domingos, P.1
-
18
-
-
0036137126
-
Characterization of bio-chemical signals by inductive logic programming
-
Andrei Doncescu, Julio Waissman, Gilles Richard, and Gilles Roux Characterization of bio-chemical signals by inductive logic programming Knowl. Based Syst. 15 1-2 2002 129 137
-
(2002)
Knowl. Based Syst.
, vol.15
, Issue.12
, pp. 129-137
-
-
Doncescu, A.1
Waissman, J.2
Richard, G.3
Roux, G.4
-
19
-
-
6344279447
-
Multi-relational data mining: An introduction
-
S. Deroski Multi-relational data mining: an introduction SIGKDD Explor. 5 1 2003 1 16
-
(2003)
SIGKDD Explor.
, vol.5
, Issue.1
, pp. 1-16
-
-
Deroski, S.1
-
20
-
-
0032119870
-
Diterpene structure elucidation from C NMR spectra with inductive logic programming
-
S. Dzeroski, S. Schulze-Kremer, K. Heidtke, K. Siems, D. Wettschereck, and H. Blockeel Diterpene structure elucidation from C NMR spectra with inductive logic programming Appl. Artif. Intell. 12 1998 363 383
-
(1998)
Appl. Artif. Intell.
, vol.12
, pp. 363-383
-
-
Dzeroski, S.1
Schulze-Kremer, S.2
Heidtke, K.3
Siems, K.4
Wettschereck, D.5
Blockeel, H.6
-
21
-
-
0025006006
-
Prediction of probability of carcinogenicity for a set of ongoing NTP bioassays
-
K. Enslein, B.W. Blake, and H.h. Borgstedt Prediction of probability of carcinogenicity for a set of ongoing NTP bioassays Mutagenesis 5 4 1990 305 306
-
(1990)
Mutagenesis
, vol.5
, Issue.4
, pp. 305-306
-
-
Enslein, K.1
Blake, B.W.2
H, H.B.3
-
22
-
-
0344889711
-
Inducing temporal fault diagnostic rules from a qualitative model
-
Academic Press
-
C. Feng Inducing temporal fault diagnostic rules from a qualitative model Inductive Logic Programming 1992 Academic Press 473 488
-
(1992)
Inductive Logic Programming
, pp. 473-488
-
-
Feng, C.1
-
23
-
-
38049156405
-
A method for multi-relational classification using single and multi-feature aggregation functions
-
Richard Frank, Flavia Moser, Martin Ester, A method for multi-relational classification using single and multi-feature aggregation functions, in: PKDD, 2007, pp. 430-437.
-
(2007)
PKDD
, pp. 430-437
-
-
Richard, F.1
Flavia, M.2
Martin, E.3
-
24
-
-
32044446066
-
Prl: A probabilistic relational language
-
Lise Getoor, and John Grant Prl: a probabilistic relational language Mach. Learn. 62 1-2 2006 7 31
-
(2006)
Mach. Learn.
, vol.62
, Issue.12
, pp. 7-31
-
-
Getoor, L.1
Grant, J.2
-
25
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
J. Han, J. Pei, and Y. Yin Mining frequent patterns without candidate generation SIGMOD Rec. 29 2 2000 1 12
-
(2000)
SIGMOD Rec.
, vol.29
, Issue.2
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
27
-
-
0025940664
-
On the rodent bioassays currently being conducted on 44 chemicals: A RASH analysis to predict test results from the National Toxicology Program
-
Troyce D. Jones, and Clay E. Easterly On the rodent bioassays currently being conducted on 44 chemicals: a RASH analysis to predict test results from the National Toxicology Program Mutagenesis 6 6 1991 507 514
-
(1991)
Mutagenesis
, vol.6
, Issue.6
, pp. 507-514
-
-
Jones, T.D.1
Easterly, C.E.2
-
28
-
-
58449085819
-
Aggregation in confidence-based concept discovery for multi-relational data mining
-
Amsterdam, Netherland
-
Y. Kavurucu, P. Senkul, I.H. Toroslu, Aggregation in confidence-based concept discovery for multi-relational data mining, in: Proceedings of IADIS European Conference on Data Mining (ECDM), Amsterdam, Netherland, 2008, pp. 43-50.
-
(2008)
Proceedings of IADIS European Conference on Data Mining (ECDM)
, pp. 43-50
-
-
Kavurucu, Y.1
Senkul, P.2
Toroslu, I.H.3
-
29
-
-
67349182558
-
Confidence-based concept discovery in multi-relational data mining
-
Hong Kong
-
Y. Kavurucu, P. Senkul, I.H. Toroslu, Confidence-based concept discovery in multi-relational data mining, in: Proceedings of International Conference on Data Mining and Applications (ICDMA), Hong Kong, 2008, pp. 446-451.
-
(2008)
Proceedings of International Conference on Data Mining and Applications (ICDMA)
, pp. 446-451
-
-
Kavurucu, Y.1
Senkul, P.2
Toroslu, I.H.3
-
30
-
-
70350635367
-
Analyzing transitive rules on a hybrid concept discovery system
-
2009 Springer Berlin/Heidelberg LNCS
-
Y. Kavurucu, P. Senkul, and I.H. Toroslu Analyzing transitive rules on a hybrid concept discovery system LNCS Hybrid Artificial Intelligent Systems vol. 5572/2009 2009 Springer Berlin/Heidelberg 227 234
-
(2009)
Hybrid Artificial Intelligent Systems
, vol.5572
, pp. 227-234
-
-
Kavurucu, Y.1
Senkul, P.2
Toroslu, I.H.3
-
31
-
-
71049141741
-
Confidence-based concept discovery in relational databases
-
Los Angeles, USA
-
Y. Kavurucu, P. Senkul, I.H. Toroslu, Confidence-based concept discovery in relational databases, in: Proceedings of 2009 World Congress on Computer Science and Information Engineering (CSIE 2009), Los Angeles, USA, 2009, pp. 43-50.
-
(2009)
Proceedings of 2009 World Congress on Computer Science and Information Engineering (CSIE 2009)
, pp. 43-50
-
-
Kavurucu, Y.1
Senkul, P.2
Toroslu, I.H.3
-
33
-
-
58449085819
-
Multi-relational concept discovery with aggregation
-
Northern Cyprus
-
Y. Kavurucu, P. Senkul, I.H. Toroslu, Multi-relational concept discovery with aggregation, in: Proceedings of 24th International Symposium on Computer and Information Sciences (ISCIS 2009), Northern Cyprus, 2009, pp. 43-50.
-
(2009)
Proceedings of 24th International Symposium on Computer and Information Sciences (ISCIS 2009)
, pp. 43-50
-
-
Kavurucu, Y.1
Senkul, P.2
Toroslu, I.H.3
-
34
-
-
0000183134
-
Relating chemical activity to structure: An examination of ILP successes
-
R.D. King, A. Srinivasan, and M.J.E. Sternberg Relating chemical activity to structure: an examination of ILP successes New Gener. Comput. 13 1995 411 433
-
(1995)
New Gener. Comput.
, vol.13
, pp. 411-433
-
-
King, R.D.1
Srinivasan, A.2
Sternberg, M.J.E.3
-
35
-
-
84864855628
-
Involving aggregate functions in multi-relational search
-
Springer-Verlag, London, UK
-
A.J. Knobbe, A. Siebes, B. Marseille, Involving aggregate functions in multi-relational search, in: PKDD '02: Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, Springer-Verlag, London, UK, 2002, pp. 287-298.
-
(2002)
PKDD '02: Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
, pp. 287-298
-
-
Knobbe, A.J.1
Siebes, A.2
Marseille, B.3
-
36
-
-
0033133141
-
Integrating induction and abduction in logic programming
-
E. Lamma, P. Mello, M. Milano, and F. Riguzzi Integrating induction and abduction in logic programming Inf. Sci. Inf. Comput. Sci. 116 1 1999 25 54
-
(1999)
Inf. Sci. Inf. Comput. Sci.
, vol.116
, Issue.1
, pp. 25-54
-
-
Lamma, E.1
Mello, P.2
Milano, M.3
Riguzzi, F.4
-
37
-
-
84949207526
-
Rule evaluation measures: A unifying view
-
Springer-Verlag, London, UK
-
N. Lavrac, P.A. Flach, B. Zupan. Rule evaluation measures: a unifying view, in: ILP '99: Proceedings of the 9th International Workshop on Inductive Logic Programming, Springer-Verlag, London, UK, 1999, pp. 174-185.
-
(1999)
ILP '99: Proceedings of the 9th International Workshop on Inductive Logic Programming
, pp. 174-185
-
-
Lavrac, N.1
Flach, P.A.2
Zupan, B.3
-
39
-
-
38649105114
-
An approach to mining the multi-relational imbalanced database
-
C. Lee, C. Tsai, T. Wu, and W. Yang An approach to mining the multi-relational imbalanced database Expert Syst. Appl. 34 4 2008 3021 3032
-
(2008)
Expert Syst. Appl.
, vol.34
, Issue.4
, pp. 3021-3032
-
-
Lee, C.1
Tsai, C.2
Wu, T.3
Yang, W.4
-
40
-
-
9444292465
-
-
Master's thesis, Iowa State University, Iowa, USA
-
H.A. Leiva, Mrdtl: a multi-relational decision tree learning algorithm, Master's thesis, Iowa State University, Iowa, USA, 2002.
-
(2002)
Mrdtl: A Multi-relational Decision Tree Learning Algorithm
-
-
Leiva, H.A.1
-
41
-
-
0025083966
-
A prospective toxicity evaluation (COMPACT) on 40 chemicals currently being tested by the National Toxicology Program
-
David F.V. Lewis, Costas Ioannides, and Dennis V. Parke A prospective toxicity evaluation (COMPACT) on 40 chemicals currently being tested by the National Toxicology Program Mutagenesis 5 5 1990 433 435
-
(1990)
Mutagenesis
, vol.5
, Issue.5
, pp. 433-435
-
-
Lewis, D.F.V.1
Ioannides, C.2
Parke, D.V.3
-
42
-
-
0022150384
-
Closed-world databases and circumscription
-
V. Liftschitz Closed-world databases and circumscription Artif. Intell. 27 1985 229 235
-
(1985)
Artif. Intell.
, vol.27
, pp. 229-235
-
-
Liftschitz, V.1
-
43
-
-
0004342330
-
Inductive inference of VL decision rules
-
SIGART Newsletter, ACM, Hawaii
-
R. Michalski, J. Larson, Inductive inference of VL decision rules, in: Workshop on Pattern-Directed Inference Systems, vol. 63, SIGART Newsletter, ACM, Hawaii, 1997, pp. 33-44.
-
(1997)
Workshop on Pattern-Directed Inference Systems
, vol.63
, pp. 33-44
-
-
Michalski, R.1
Larson, J.2
-
45
-
-
0000640432
-
Inductive logic programming
-
S. Muggleton Inductive logic programming New Gener. Comput. 8 4 1991 295 318
-
(1991)
New Gener. Comput.
, vol.8
, Issue.4
, pp. 295-318
-
-
Muggleton, S.1
-
46
-
-
0004109056
-
-
S. Muggleton, Academic Press London
-
S. Muggleton, Inductive Logic Programming 1992 Academic Press London
-
(1992)
Inductive Logic Programming
-
-
-
48
-
-
84949207675
-
Learning from positive data
-
Springer-Verlag
-
S. Muggleton, Learning from positive data, in: Proceedings of the 6th International Workshop on Inductive Logic Programming, Lecture Notes in Artificial Intelligence, vol. 1314, Springer-Verlag, 1996, pp. 358-376.
-
(1996)
Proceedings of the 6th International Workshop on Inductive Logic Programming, Lecture Notes in Artificial Intelligence
, vol.1314
, pp. 358-376
-
-
Muggleton, S.1
-
49
-
-
77952399122
-
Learning relational probability trees
-
ACM, New York, NY, USA
-
J. Neville, D. Jensen, L. Friedland, M. Hay, Learning relational probability trees, in: KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA, 2003, pp. 625-630.
-
(2003)
KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 625-630
-
-
Neville, J.1
Jensen, D.2
Friedland, L.3
Hay, M.4
-
50
-
-
22944446870
-
Aggregation-based feature invention and relational concept classes
-
ACM, New York, NY, USA
-
Claudia Perlich, Foster Provost, Aggregation-based feature invention and relational concept classes, in: KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, New York, NY, USA, 2003, pp. 167-176.
-
(2003)
KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 167-176
-
-
Claudia, P.1
Foster, P.2
-
51
-
-
30144445559
-
A creative abduction approach to scientific and knowledge discovery
-
H. Prendinger, and M. Ishizuka A creative abduction approach to scientific and knowledge discovery Knowl. Based Syst. 18 7 2005 321 326
-
(2005)
Knowl. Based Syst.
, vol.18
, Issue.7
, pp. 321-326
-
-
Prendinger, H.1
Ishizuka, M.2
-
52
-
-
0001172265
-
Learning logical definitions from relations
-
J.R. Quinlan Learning logical definitions from relations Mach. Learn. 5 3 1990 239 266
-
(1990)
Mach. Learn.
, vol.5
, Issue.3
, pp. 239-266
-
-
Quinlan, J.R.1
-
54
-
-
0025863682
-
Computer prediction of possible toxic action from chemical structure; The DEREK system
-
D.M. Sanderson, and C.G. Earnshaw Computer prediction of possible toxic action from chemical structure; the DEREK system Hum. Exp. Toxicol. 10 4 1991 261 273
-
(1991)
Hum. Exp. Toxicol.
, vol.10
, Issue.4
, pp. 261-273
-
-
Sanderson, D.M.1
Earnshaw, C.G.2
-
55
-
-
35448952961
-
Introducing possibilistic logic in ILP for dealing with exceptions
-
M. Serrurier, and H. Prade Introducing possibilistic logic in ILP for dealing with exceptions Artif. Intell. 171 16-17 2007 939 950
-
(2007)
Artif. Intell.
, vol.171
, Issue.1617
, pp. 939-950
-
-
Serrurier, M.1
Prade, H.2
-
56
-
-
38349038397
-
Improving inductive logic programming by using simulated annealing
-
M. Serrurier, and H. Prade Improving inductive logic programming by using simulated annealing Inf. Sci. 178 6 2008 1423 1441
-
(2008)
Inf. Sci.
, vol.178
, Issue.6
, pp. 1423-1441
-
-
Serrurier, M.1
Prade, H.2
-
59
-
-
84957891317
-
Carcinogenesis predictions using ILP
-
Springer-Verlag
-
A. Srinivasan, R.D. King, S. Muggleton, M.J.E. Sternberg, Carcinogenesis predictions using ILP, in: Proceedings of the 7th International Workshop on Inductive Logic Programming, vol. 1297, Springer-Verlag, 1997, pp. 273-287.
-
(1997)
Proceedings of the 7th International Workshop on Inductive Logic Programming
, vol.1297
, pp. 273-287
-
-
Srinivasan, A.1
King, R.D.2
Muggleton, S.3
Sternberg, M.J.E.4
-
60
-
-
84880685154
-
The predictive toxicology evaluation challenge
-
Morgan-Kaufmann
-
A. Srinivasan, R.D. King, S.H. Muggleton, M. Sternberg, The predictive toxicology evaluation challenge, in: Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), Morgan-Kaufmann, 1997, pp. 1-6.
-
(1997)
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97)
, pp. 1-6
-
-
Srinivasan, A.1
King, R.D.2
Muggleton, S.H.3
Sternberg, M.4
-
61
-
-
9144248442
-
Theories for mutagenecity: A study of first-order and feature based induction
-
Oxford University Computing Laboratory
-
A. Srinivasan, S. Muggleton, R.D. King, M.J.E. Sternberg, Theories for mutagenecity: a study of first-order and feature based induction, Technical Report, PRG-TR-8-95, Oxford University Computing Laboratory, 1995.
-
(1995)
Technical Report, PRG-TR-8-95
-
-
Srinivasan, A.1
Muggleton, S.2
King, R.D.3
Sternberg, M.J.E.4
-
62
-
-
0025266201
-
Prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 44 chemicals by the national toxicology program
-
R.W. Tennant, J. Spalding, S. Stasiewicz, and J. Ashby Prediction of the outcome of rodent carcinogenicity bioassays currently being conducted on 44 chemicals by the national toxicology program Mutagenesis 5 1990 3 14
-
(1990)
Mutagenesis
, vol.5
, pp. 3-14
-
-
Tennant, R.W.1
Spalding, J.2
Stasiewicz, S.3
Ashby, J.4
-
63
-
-
13644262674
-
Data mining in deductive databases using query flocks
-
I.H. Toroslu, and M. Yetisgen-Yildiz Data mining in deductive databases using query flocks Expert Syst. Appl. 28 3 2005 395 407
-
(2005)
Expert Syst. Appl.
, vol.28
, Issue.3
, pp. 395-407
-
-
Toroslu, I.H.1
Yetisgen-Yildiz, M.2
-
64
-
-
33751239140
-
A new relational learning system using novel rule selection strategies
-
M. Uludag, and M.R. Tolun A new relational learning system using novel rule selection strategies Knowl. Based Syst. 19 8 2006 765 771
-
(2006)
Knowl. Based Syst.
, vol.19
, Issue.8
, pp. 765-771
-
-
Uludag, M.1
Tolun, M.R.2
-
65
-
-
54949123458
-
A new model of evaluating concept similarity
-
L. Wang, and X. Liu A new model of evaluating concept similarity Know. Based Syst. 21 8 2008 842 846
-
(2008)
Know. Based Syst.
, vol.21
, Issue.8
, pp. 842-846
-
-
Wang, L.1
Liu, X.2
-
66
-
-
56649106565
-
Real formal concept analysis based on grey-rough set theory
-
Q. Wu, and Z. Liu Real formal concept analysis based on grey-rough set theory Know. Based Syst. 22 1 2009 38 45
-
(2009)
Know. Based Syst.
, vol.22
, Issue.1
, pp. 38-45
-
-
Wu, Q.1
Liu, Z.2
-
67
-
-
2442458705
-
Crossmine: Efficient classification across multiple database relations
-
X. Yin, J. Han, J. Yang, P.S. Yu, Crossmine: efficient classification across multiple database relations, in: ICDE, 2004, pp. 399-411.
-
(2004)
ICDE
, pp. 399-411
-
-
Yin, X.1
Han, J.2
Yang, J.3
Yu, P.S.4
|