-
2
-
-
0042413852
-
Disproportionality analysis using empirical Bayes data mining: A tool for the evaluation of drug interactions in the post-marketing setting
-
DOI 10.1002/pds.885
-
Almenoff, J. S., DuMouchel, W., Kindman, L. A., Yang, X. & Fram, D. (2003), 'Disproportionality analysis using empirical bayes data mining: a tool for the evaluation of drug interactions in the post-marketing setting', Pharmacoepidemiology and Drug Safety 12(6), 517-521. (Pubitemid 37069389)
-
(2003)
Pharmacoepidemiology and Drug Safety
, vol.12
, Issue.6
, pp. 517-521
-
-
Almenoff, J.S.1
DuMouchel, W.2
Kindman, L.A.3
Yang, X.4
Fram, D.5
-
3
-
-
7444238334
-
Temporal sequence associations for rare events
-
Advances in Knowledge Discovery and Data Mining
-
Chen, J., He, H., Williams, G. & Jin, H. (2004), Temporal sequence associations for rare events, in 'Proceedings of 8th Pacific-Asia International Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science (LNAI 3056)', Sydney, Australia, pp. 235-239. (Pubitemid 38824905)
-
(2004)
Lecture Notes in Computer Science
, Issue.3056
, pp. 235-239
-
-
Chen, J.1
He, H.2
Williams, G.3
Jin, H.4
-
4
-
-
0036756222
-
Uniqueness of medical data mining
-
DOI 10.1016/S0933-3657(02)00049-0, PII S0933365702000490
-
Cios, K. J. & Moore, G. W. (2002), 'Uniqueness of medical data mining', Artificial Intelligence in Medicine 26(1-2), 1-24. (Pubitemid 35299395)
-
(2002)
Artificial Intelligence in Medicine
, vol.26
, Issue.1-2
, pp. 1-24
-
-
Cios, K.J.1
William Moore, G.2
-
5
-
-
7444222468
-
Association rule discovery with unbalanced class
-
Perth, Western Australia
-
Gu, L., Li, J., He, H., Williams, G., Hawkins, S. & Kelman, C. (2003), Association rule discovery with unbalanced class, in 'Proceedings of the 16th Australian Joint Conference on Artificial Intelligence (AI03), Lecture Notes in Artificial Intelligence', Perth, Western Australia.
-
(2003)
Proceedings of the 16th Australian Joint Conference on Artificial Intelligence (AI03), Lecture Notes in Artificial Intelligence
-
-
Gu, L.1
Li, J.2
He, H.3
Williams, G.4
Hawkins, S.5
Kelman, C.6
-
6
-
-
33645630472
-
Data mining of the Australian adverse drug reactions database: A comparison of Bayesian and other statistical indicators
-
Harvey, J., Turville, C. & Barty, S. (2004), 'Data mining of the australian adverse drug reactions database: a comparison of bayesian and other statistical indicators', International Transactions in Operational Research 11(4), 419-433. (Pubitemid 38761933)
-
(2004)
International Transactions in Operational Research
, vol.11
, Issue.4
, pp. 419-433
-
-
Harvey, J.T.1
Turville, C.2
Barty, S.M.3
-
7
-
-
84947936933
-
Scaling-up model-based clustering algorithm by working on clustering features
-
H. Yin, N. Allinson, R. Freeman, J. Keane & S. Hubbard, eds, Springer, Manchester, UK
-
Jin, H.-D., Leung, K.-S. & Wong, M.-L. (2002), Scaling-up model-based clustering algorithm by working on clustering features, in H. Yin, N. Allinson, R. Freeman, J. Keane & S. Hubbard, eds, 'Proceeding of Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL-2002', Springer, Manchester, UK, pp. 569-575.
-
(2002)
Proceeding of Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL-2002
, pp. 569-575
-
-
Jin, H.-D.1
Leung, K.-S.2
Wong, M.-L.3
-
8
-
-
2442719356
-
Expanding self-organizing map for data visualization and cluster analysis
-
Jin, H.-D., Shum, W., Leung, K.-S. & Wong, M.-L. (2004), 'Expanding self-organizing map for data visualization and cluster analysis', Information Sciences 163, 157-173.
-
(2004)
Information Sciences
, vol.163
, pp. 157-173
-
-
Jin, H.-D.1
Shum, W.2
Leung, K.-S.3
Wong, M.-L.4
-
9
-
-
21944453457
-
Scalable model-based clustering by working on data summaries
-
Melbourne, Florida, USA
-
Jin, H.-D., Wong, M.-L. & Leung, K.-S. (2003), Scalable model-based clustering by working on data summaries, in 'Proceedings of Third IEEE International Conference on Data Mining (ICDM 2003)', Melbourne, Florida, USA, pp. 91-98.
-
(2003)
Proceedings of Third IEEE International Conference on Data Mining (ICDM 2003)
, pp. 91-98
-
-
Jin, H.-D.1
Wong, M.-L.2
Leung, K.-S.3
-
10
-
-
84868689673
-
Recent data mining research work using linked health data: Extended abstract
-
Sydney, Australia
-
Jin, H., Williams, G., He, H., Chen, J. & McAullay, D. (2004), Recent data mining research work using linked health data: Extended abstract, in 'PAKDD 2004 Workshop Notes: Current Research and Future Directions', Sydney, Australia, pp. 47-51.
-
(2004)
PAKDD 2004 Workshop Notes: Current Research and Future Directions
, pp. 47-51
-
-
Jin, H.1
Williams, G.2
He, H.3
Chen, J.4
McAullay, D.5
-
11
-
-
49249133028
-
Social welfare program administration and evaluation and policy analysis using knowledge discovery and data mining (KDD) on administrative data
-
Kum, H.-C., Duncan, D., Flair, K. & Wang, W. (2003), Social welfare program administration and evaluation and policy analysis using knowledge discovery and data mining (kdd) on administrative data, in 'Proceedings of the NSF National Conference on Digital Government Research (DG.O)', pp. 39-44.
-
(2003)
Proceedings of the NSF National Conference on Digital Government Research (DG.O)
, pp. 39-44
-
-
Kum, H.-C.1
Duncan, D.2
Flair, K.3
Wang, W.4
-
12
-
-
0036722344
-
Mining the optimal class association rule set
-
DOI 10.1016/S0950-7051(02)00024-2, PII S0950705102000242
-
Li, J., Shen, H. & Topor, R. (2002), 'Mining the optimal class association rule set', Knowledge-based Systems 15(7), 399-405. (Pubitemid 34614259)
-
(2002)
Knowledge-Based Systems
, vol.15
, Issue.7
, pp. 399-405
-
-
Li, J.1
Shen, H.2
Topor, R.3
-
13
-
-
0141484568
-
Detecting adverse events for patient safety research: A review of current methodologies
-
DOI 10.1016/j.jbi.2003.08.003
-
Murff, H. J., Patel, V. L., Hripcsak, G. & Bates, D. W. (2003), 'Detecting adverse events for patient safety research: a review of current methodologies', Journal of Biomedical Informatics 36(1/2), 131-143. (Pubitemid 37209987)
-
(2003)
Journal of Biomedical Informatics
, vol.36
, Issue.1-2
, pp. 131-143
-
-
Murff, H.J.1
Patel, V.L.2
Hripcsak, G.3
Bates, D.W.4
-
15
-
-
34249006400
-
Clinical and financial outcomes analysis with existing hospital patient records
-
Rao, R. B., Sandilya, S., Niculescu, R. S., Germond, C. & Rao, H. (2003), Clinical and financial outcomes analysis with existing hospital patient records, in 'Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining', pp. 416 - 425.
-
(2003)
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 416-425
-
-
Rao, R.B.1
Sandilya, S.2
Niculescu, R.S.3
Germond, C.4
Rao, H.5
-
17
-
-
33645548158
-
Exploratory medical knowledge discovery : Experiences and issues
-
Roddick, J., Fule, P. & Graco, W. (2003), 'Exploratory medical knowledge discovery : Experiences and issues', SIGKDD Exploration 5(1), 94-99.
-
(2003)
SIGKDD Exploration
, vol.5
, Issue.1
, pp. 94-99
-
-
Roddick, J.1
Fule, P.2
Graco, W.3
-
18
-
-
2442588422
-
SLPMiner: An algorithm for finding frequent sequential patterns using length decreasing support constraint
-
IEEE, Maebashi City, Japan
-
Seno, M. & Karypis, G. (2002), SLPMiner: An algorithm for finding frequent sequential patterns using length decreasing support constraint, in 'Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM)', IEEE, Maebashi City, Japan, pp. 418-425.
-
(2002)
Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM)
, pp. 418-425
-
-
Seno, M.1
Karypis, G.2
-
19
-
-
5444274560
-
A service oriented architecture for a health research data network
-
Greece
-
Taylor, K., O'Keefe, C., Colton, J., Baxter, R., Sparks, R., Srinivasan, U., Cameron, M. & Lefort, L. (2004), A service oriented architecture for a health research data network, in 'Proceedings of the 19th International Conference on Scientific and Statistical Database Management( SSDBM'04)', Greece.
-
(2004)
Proceedings of the 19th International Conference on Scientific and Statistical Database Management( SSDBM'04)
-
-
Taylor, K.1
O'keefe, C.2
Colton, J.3
Baxter, R.4
Sparks, R.5
Srinivasan, U.6
Cameron, M.7
Lefort, L.8
-
21
-
-
33745291066
-
QLDS: Adverse drug reaction detection towards automation
-
Canberra
-
Williams, G., He, H., Chen, J., Jin, H., McAullay, D., Sparks, R., Cui, J., Hawkins, S. & Kelman, C. (2004), QLDS: Adverse drug reaction detection towards automation, Technical Report CMIS 04/91, CSIRO Mathematical and Information Sciences, Canberra.
-
(2004)
Technical Report CMIS 04/91, CSIRO Mathematical and Information Sciences
-
-
Williams, G.1
He, H.2
Chen, J.3
Jin, H.4
McAullay, D.5
Sparks, R.6
Cui, J.7
Hawkins, S.8
Kelman, C.9
-
22
-
-
1242329171
-
Application of data mining techniques in pharmacovigilance
-
DOI 10.1046/j.1365-2125.2003.01968.x
-
Wilson, A., Thabane, L. & Holbrook, A. (2004), 'Application of data mining techniques in pharmacovigilance', British Journal of Clinical Pharmacology 57(2), 127-134. (Pubitemid 38223524)
-
(2004)
British Journal of Clinical Pharmacology
, vol.57
, Issue.2
, pp. 127-134
-
-
Wilson, A.M.1
Thabane, L.2
Holbrook, A.3
-
23
-
-
3543125360
-
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
-
DOI 10.1023/B:DAMI.0000023676.72185.7c
-
Yamanishi, K., ichi Takeuchi, J., Williams, G. & Milne, P. (2004), 'On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms', International Journal of Data Mining and Knowledge Discovery 8(3), 275-300. (Pubitemid 39019964)
-
(2004)
Data Mining and Knowledge Discovery
, vol.8
, Issue.3
, pp. 275-300
-
-
Yamanishi, K.1
Takeuchi, J.-I.2
Williams, G.3
Milne, P.4
|