-
1
-
-
84897688795
-
Discovering characterizations of the behavior of anomalous subpopulations
-
10.1109/TKDE.2012.58 10.1109/TKDE.2012.58
-
Angiulli, F.; Fassetti, F.; Palopoli, L. (2013). Discovering characterizations of the behavior of anomalous subpopulations. IEEE Transactions on Knowledge and Data Engineering, 25(6), 1280-1292. doi: 10.1109/TKDE.2012.58.
-
(2013)
IEEE Transactions on Knowledge and Data Engineering
, vol.25
, Issue.6
, pp. 1280-1292
-
-
Angiulli, F.1
Fassetti, F.2
Palopoli, L.3
-
3
-
-
23044527560
-
Detecting group differences: Mining contrast sets
-
10.1023/A:1011429418057 0982.68048
-
Bay, S.D.; Pazzani, M.J. (2001). Detecting group differences: mining contrast sets. Data Mining and Knowledge Discovery, 5(3), 213-246.
-
(2001)
Data Mining and Knowledge Discovery
, vol.5
, Issue.3
, pp. 213-246
-
-
Bay, S.D.1
Pazzani, M.J.2
-
4
-
-
13844283290
-
-
Faculty of Computer and Information Science, University of Ljubljana
-
Demšar, J.; Zupan, B.; Leban, G. (2004). Orange: from experimental machine learning to interactive data mining, white paper. Faculty of Computer and Information Science, University of Ljubljana. www.ailab.si/orange.
-
(2004)
Orange: From Experimental Machine Learning to Interactive Data Mining, White Paper
-
-
Demšar, J.1
Zupan, B.2
Leban, G.3
-
6
-
-
0026072872
-
Pathological prognostic factors in breast cancer. I the value of histological grade in breast cancer: Experience from a large study with long-term follow-up
-
10.1111/j.1365-2559.1991.tb00229.x
-
Elston, C.W.; Ellis, I.O. (1991). Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology, 19(5), 403-410.
-
(1991)
Histopathology
, vol.19
, Issue.5
, pp. 403-410
-
-
Elston, C.W.1
Ellis, I.O.2
-
7
-
-
84861801113
-
Biomine: Predicting links between biological entities using network models of heterogeneous databases
-
10.1186/1471-2105-13-119
-
Eronen, L.; Toivonen, H. (2012). Biomine: predicting links between biological entities using network models of heterogeneous databases. BMC Bioinformatics, 13, 119.
-
(2012)
BMC Bioinformatics
, vol.13
, pp. 119
-
-
Eronen, L.1
Toivonen, H.2
-
8
-
-
0026808390
-
The Nottingham prognostic index in primary breast cancer
-
10.1007/BF01840834
-
Galea, M.; Blamey, R.; Elston, C.; Ellis, I. (1992). The Nottingham prognostic index in primary breast cancer. Breast Cancer Research and Treatment, 22, 207-219.
-
(1992)
Breast Cancer Research and Treatment
, vol.22
, pp. 207-219
-
-
Galea, M.1
Blamey, R.2
Elston, C.3
Ellis, I.4
-
10
-
-
0038500689
-
Active subgroup mining: A case study in coronary heart disease risk group detection
-
10.1016/S0933-3657(03)00034-4
-
Gamberger, D.; Lavrač, N. (2003). Active subgroup mining: a case study in coronary heart disease risk group detection. Artificial Intelligence in Medicine, 28(1), 27-57.
-
(2003)
Artificial Intelligence in Medicine
, vol.28
, Issue.1
, pp. 27-57
-
-
Gamberger, D.1
Lavrač, N.2
-
11
-
-
76749092270
-
The WEKA data mining software: An update
-
10.1145/1656274.1656278
-
Hall, M.; Frank, E.; Holmes, G.; Pfahringer, B.; Reutemann, P.; Witten, I.H. (2009). The WEKA data mining software: an update. SIGKDD Explor Newsl, 11, 10-18.
-
(2009)
SIGKDD Explor Newsl
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
12
-
-
79961058143
-
Ontology-based meta-mining of knowledge discovery workflows
-
N. Jankowski W. Duch K. Grabczewski (eds) Springer Berlin Heidelberg 10.1007/978-3-642-20980-2-9
-
Hilario, M.; Nguyen, P.; Do, H.; Woznica, A.; Kalousis, A. (2011). Ontology-based meta-mining of knowledge discovery workflows. In N. Jankowski, W. Duch, K. Grabczewski (Eds.), Meta-learning in computational intelligence, studies in computational intelligence (Vol. 358, pp. 273-315). Berlin Heidelberg: Springer.
-
(2011)
Meta-learning in Computational Intelligence, Studies in Computational Intelligence Vol. 358
, pp. 273-315
-
-
Hilario, M.1
Nguyen, P.2
Do, H.3
Woznica, A.4
Kalousis, A.5
-
13
-
-
84857462987
-
-
P. Brazdil, & A. Jorge (Eds.), EPIA, lecture notes in computer science Berlin Heidelberg: Springer
-
Jovanoski, V.; Lavrač, N. (2001). Classification rule learning with APRIORI-C. In P. Brazdil, & A. Jorge (Eds.), EPIA, lecture notes in computer science (Vol. 2258, pp. 44-51). Berlin Heidelberg: Springer.
-
(2001)
Classification Rule Learning with APRIORI-C
, vol.2258
, pp. 44-51
-
-
Jovanoski, V.1
Lavrač, N.2
-
14
-
-
33747881454
-
APRIORI-SD: Adapting association rule learning to subgroup discovery
-
10.1080/08839510600779688
-
Kavšek, B.; Lavrač, N. (2006). APRIORI-SD: adapting association rule learning to subgroup discovery. Applied Artificial Intelligence, 20(7), 543-583.
-
(2006)
Applied Artificial Intelligence
, vol.20
, Issue.7
, pp. 543-583
-
-
Kavšek, B.1
Lavrač, N.2
-
15
-
-
0002192370
-
Explora: A multipattern and multistrategy discovery assistant
-
American Association for Artificial Intelligence Menlo Park
-
Klösgen, W. (1996). Explora: a multipattern and multistrategy discovery assistant. In Advances in knowledge discovery and data mining, (pp. 249-271). Menlo Park: American Association for Artificial Intelligence.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 249-271
-
-
Klösgen, W.1
-
16
-
-
61749084093
-
Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining
-
1235.68178
-
Kralj Novak, P.; Lavrač, N.; Webb, G.I. (2009). Supervised descriptive rule discovery: a unifying survey of contrast set, emerging pattern and subgroup mining. Journal of Machine Learning Research, 10, 377-403.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 377-403
-
-
Kralj Novak, P.1
Lavrač, N.2
Webb, G.I.3
-
17
-
-
84866883130
-
Clowdflows: A cloud based scientific workflow platform
-
A. Flach T.D. Bie N. Cristianini (eds) Springer Berlin Heidelberg
-
Kranjc, J.; Podpečan, V.; Lavrač, N. (2012). Clowdflows: a cloud based scientific workflow platform. In P.A. Flach, T.D. Bie, N. Cristianini (Eds.), ECML/PKDD (2), lecture notes in computer science (Vol. 7524, pp. 816-819). Berlin Heidelberg: Springer.
-
(2012)
ECML/PKDD (2), Lecture Notes in Computer Science Vol. 7524
, pp. 816-819
-
-
Kranjc, J.1
Podpečan, V.2
Lavrač, N.3
-
18
-
-
84874853821
-
Contrasting subgroup discovery
-
10.1093/comjnl/bxs132
-
Langohr, L.; Podpečan, V.; Petek, M.; Mozetič, I.; Gruden, K.; Lavrač, N.; Toivonen, H. (2013). Contrasting subgroup discovery. Computer Journal, 56(3), 289-303.
-
(2013)
Computer Journal
, vol.56
, Issue.3
, pp. 289-303
-
-
Langohr, L.1
Podpečan, V.2
Petek, M.3
Mozetič, I.4
Gruden, K.5
Lavrač, N.6
Toivonen, H.7
-
19
-
-
84925740795
-
Subgroup discovery with CN2-SD
-
Lavrač, N.; Kavšek, B.; Flach, P.A.; Todorovski, L. (2004). Subgroup discovery with CN2-SD. Journal of Machine Learning Research, 5, 153-188.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 153-188
-
-
Lavrač, N.1
Kavšek, B.2
Flach, P.A.3
Todorovski, L.4
-
20
-
-
80053950527
-
Using ontologies in semantic data mining with SEGS and g-SEGS
-
Springer
-
Lavrač, N.; Vavpetič, A.; Soldatova, L.; Trajkovski, I.; Kralj Novak, P. (2011). Using ontologies in semantic data mining with SEGS and g-SEGS. In Proceedings of the international conference on discovery science (DS '11) (pp. 165-178). Springer.
-
(2011)
Proceedings of the International Conference on Discovery Science (DS '11
, pp. 165-178
-
-
Lavrač, N.1
Vavpetič, A.2
Soldatova, L.3
Trajkovski, I.4
Kralj Novak, P.5
-
21
-
-
79960137875
-
Fr-ont: An algorithm for frequent concept mining with formal ontologies
-
M. Kryszkiewicz H. Rybinski A. Skowron Z.W. Ras (eds) Springer Berlin Heidelberg
-
Lawrynowicz, A.; Potoniec, J. (2011). Fr-ont: an algorithm for frequent concept mining with formal ontologies. In M. Kryszkiewicz, H. Rybinski, A. Skowron, Z.W. Ras (Eds.), ISMIS, lecture notes in computer science (Vol. 6804, pp. 428-437). Berlin Heidelberg: Springer.
-
(2011)
ISMIS, Lecture Notes in Computer Science Vol. 6804
, pp. 428-437
-
-
Lawrynowicz, A.1
Potoniec, J.2
-
22
-
-
13444272087
-
Entrez gene: Gene-centered information at NCBI
-
Maglott, D.; Ostell, J.; Pruitt, K.D.; Tatusova, T. (2005). Entrez gene: gene-centered information at NCBI. Nucleic Acids Research, 33(Database issue).
-
(2005)
Nucleic Acids Research
, vol.33
-
-
Maglott, D.1
Ostell, J.2
Pruitt, K.D.3
Tatusova, T.4
-
23
-
-
77749291770
-
Frozen robust multiarray analysis (fRMA)
-
10.1093/biostatistics/kxp059
-
McCall, M.N.; Bolstad, B.M.; Irizarry, R.A. (2010). Frozen robust multiarray analysis (fRMA). Biostatistics, 11(2), 242-253.
-
(2010)
Biostatistics
, vol.11
, Issue.2
, pp. 242-253
-
-
McCall, M.N.1
Bolstad, B.M.2
Irizarry, R.A.3
-
24
-
-
79961071177
-
Towards a service-oriented knowledge discovery platform
-
V. Podpečan & N. Lavrač (Eds.)
-
Podpečan, V.; Juršič, M.; žakova, M.; Lavrač, N. (2009). Towards a service-oriented knowledge discovery platform. In V. Podpečan & N. Lavrač (Eds.), Third-generation data mining: towards service-oriented knowledge discovery (pp. 25-36).
-
(2009)
Third-generation Data Mining: Towards Service-oriented Knowledge Discovery
, pp. 25-36
-
-
Podpečan, V.1
Juršič, M.2
Žakova, M.3
Lavrač, N.4
-
25
-
-
81255144181
-
SegMine workflows for semantic microarray data analysis in Orange4WS
-
10.1186/1471-2105-12-416
-
Podpečan, V.; Lavrač, N.; Mozetič, I.; Kralj Novak, P.; Trajkovski, I.; Langohr, L.; Kulovesi, K.; Toivonen, H.; Petek, M.; Motaln, H.; Gruden, K. (2011a). SegMine workflows for semantic microarray data analysis in Orange4WS. BMC Bioinformatics, 12, 416.
-
(2011)
BMC Bioinformatics
, vol.12
, pp. 416
-
-
Podpečan, V.1
Lavrač, N.2
Mozetič, I.3
Kralj Novak, P.4
Trajkovski, I.5
Langohr, L.6
Kulovesi, K.7
Toivonen, H.8
Petek, M.9
Motaln, H.10
Gruden, K.11
-
26
-
-
84555194895
-
Orange4WS environment for service-oriented data mining
-
doi: 10.1093/comjnl/bxr077. Accessed 7 Aug 2011
-
Podpečan, V.; Zemenova, M.; Lavrač, N. (2011b). Orange4WS environment for service-oriented data mining. The Computer Journal. doi: 10.1093/comjnl/bxr077. Accessed 7 Aug 2011.
-
(2011)
The Computer Journal
-
-
Podpečan, V.1
Zemenova, M.2
Lavrač, N.3
-
27
-
-
0141990695
-
Theoretical and empirical analysis of ReliefF and RReliefF
-
10.1023/A:1025667309714 1076.68065
-
Robnik-Šikonja, M.; Kononenko, I. (2003). Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning, 53, 23-69.
-
(2003)
Machine Learning
, vol.53
, pp. 23-69
-
-
Robnik-Šikonja, M.1
Kononenko, I.2
-
28
-
-
33144462268
-
Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis
-
Sotiriou, C.; Wirapati, P.; Loi, S.; Harris, A.; Fox, S.; Smeds, J.; Nordgren, H.; Farmer, P.; Praz, V.; Haibe-Kains, B.; Desmedt, C.; Larsimont, D.; Cardoso, F.; Peterse, H.; Nuyten, D.; Buyse, M.; Van de Vijver, M.J.; Bergh, J.; Piccart, M.; Delorenzi, M. (2006). Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. Journal of the National Cancer Institute, 98(4), 262-272.
-
(2006)
Journal of the National Cancer Institute
, vol.98
, Issue.4
, pp. 262-272
-
-
Sotiriou, C.1
Wirapati, P.2
Loi, S.3
Harris, A.4
Fox, S.5
Smeds, J.6
Nordgren, H.7
Farmer, P.8
Praz, V.9
Haibe-Kains, B.10
Desmedt, C.11
Larsimont, D.12
Cardoso, F.13
Peterse, H.14
Nuyten, D.15
Buyse, M.16
Van De Vijver, M.J.17
Bergh, J.18
Piccart, M.19
Delorenzi, M.20
more..
-
29
-
-
2542454374
-
-
Srinivasan, A. (2007). Aleph manual. http://www.cs.ox.ac.uk/activities/ machinelearning/Aleph/.
-
(2007)
Aleph Manual
-
-
Srinivasan, A.1
-
30
-
-
27344435774
-
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
-
10.1073/pnas.0506580102
-
Subramanian, A.; Tamayo, P.; Mootha, V.K.; Mukherjee, S.; Ebert, B.L.; Gillette, M.A.; Paulovich, A.; Pomeroy, S.L.; Golub, T.R.; Lander, E.S.; Mesirov, J.P. (2005). Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences of the United States of America, 102(43), 15,545-15,550.
-
(2005)
Proceedings of the National Academy of Sciences of the United States of America
, vol.102
, Issue.43
, pp. 15
-
-
Subramanian, A.1
Tamayo, P.2
Mootha, V.K.3
Mukherjee, S.4
Ebert, B.L.5
Gillette, M.A.6
Paulovich, A.7
Pomeroy, S.L.8
Golub, T.R.9
Lander, E.S.10
Mesirov, J.P.11
-
32
-
-
33746820611
-
Data mining methods for discovering interesting exceptions from an unsupervised table
-
Suzuki, E. (2006). Data mining methods for discovering interesting exceptions from an unsupervised table. Journal of Universal Computer Science, 12(6), 627-653.
-
(2006)
Journal of Universal Computer Science
, vol.12
, Issue.6
, pp. 627-653
-
-
Suzuki, E.1
-
33
-
-
80755169527
-
InSilicoDB: An R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO
-
doi: 10.1093/bioinformatics/btr529
-
Taminau, J.; Steenhoff, D.; Coletta, A.; Meganck, S.; Lazar, C.; de Schaetzen, V.; Duque, R.; Molter, C.; Bersini, H.; Nowé, A.; Weiss Solís, D.Y. (2011). InSilicoDB: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinformatics. doi: 10.1093/bioinformatics/btr529.
-
(2011)
Bioinformatics
-
-
Taminau, J.1
Steenhoff, D.2
Coletta, A.3
Meganck, S.4
Lazar, C.5
De Schaetzen, V.6
Duque, R.7
Molter, C.8
Bersini, H.9
Nowé, A.10
Weiss Solís, D.Y.11
-
34
-
-
46649101347
-
SEGS: Search for enriched gene sets in microarray data
-
10.1016/j.jbi.2007.12.001
-
Trajkovski, I.; Lavrač, N.; Tolar, J. (2008). SEGS: search for enriched gene sets in microarray data. Journal of Biomedical Informatics, 41(4), 588-601.
-
(2008)
Journal of Biomedical Informatics
, vol.41
, Issue.4
, pp. 588-601
-
-
Trajkovski, I.1
Lavrač, N.2
Tolar, J.3
-
35
-
-
84867320105
-
Semantic subgroup discovery systems and workflows in the SDM-Toolkit
-
10.1093/comjnl/bxs057
-
Vavpetič, A.; Lavrač, N. (2013). Semantic subgroup discovery systems and workflows in the SDM-Toolkit. Computer Journal, 56(3), 304-320.
-
(2013)
Computer Journal
, vol.56
, Issue.3
, pp. 304-320
-
-
Vavpetič, A.1
Lavrač, N.2
-
36
-
-
84867662104
-
Explaining subgroups through ontologies
-
Anthony M. Ishizuka D. Lukose (eds) Springer Berlin Heidelberg
-
Vavpetič, A.; Podpečan, V.; Meganck, S.; Lavrač, N. (2012). Explaining subgroups through ontologies. In P. Anthony, M. Ishizuka, D. Lukose (Eds.), Proceedings of PRICAI, lecture notes in computer science (Vol. 7458, pp. 625-636). Berlin Heidelberg: Springer.
-
(2012)
Proceedings of PRICAI, Lecture Notes in Computer Science Vol. 7458
, pp. 625-636
-
-
Vavpetič, A.1
Podpečan, V.2
Meganck, S.3
Lavrač, N.4
-
37
-
-
84888346272
-
Semantic data mining of financial news articles
-
Springer
-
Vavpetič, A.; Novak, P.K.; Grčar, M.; Mozetič, I.; Lavrač, N. (2013). Semantic data mining of financial news articles. In Proceedings of the international conference on discovery science (DS '13). Springer.
-
(2013)
Proceedings of the International Conference on Discovery Science (DS '13)
-
-
Vavpetič, A.1
Novak, P.K.2
Grčar, M.3
Mozetič, I.4
Lavrač, N.5
-
40
-
-
38049144032
-
Relational data mining applied to virtual engineering of product designs
-
Springer-Verlag Berlin/Heidelberg, Germany, Santiago de Compostela, Spain
-
Žáková, M.; Železný, F.; García-Sedano, J.A.; Tissot, C.M.; Lavrač, N.; Kremen, P.; Molina, J. (2006). Relational data mining applied to virtual engineering of product designs. In Proceedings of the 16th international conference on inductive logic programming (ILP'06) (pp. 439-453). Berlin/Heidelberg, Germany, Santiago de Compostela, Spain: Springer-Verlag.
-
(2006)
Proceedings of the 16th International Conference on Inductive Logic Programming (ILP'06)
, pp. 439-453
-
-
Žáková, M.1
Železný, F.2
García-Sedano, J.A.3
Tissot, C.M.4
Lavrač, N.5
Kremen, P.6
Molina, J.7
|