| A new local distance-based outlier detection approach for scattered real-world data K Zhang, M Hutter, H Jin Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …, 2009 | 536 | 2009 |
| An expanding self-organizing neural network for the traveling salesman problem KS Leung, HD Jin, ZB Xu Neurocomputing 62, 267-292, 2004 | 184 | 2004 |
| Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment LJ Renzullo, A Van Dijk, JM Perraud, D Collins, B Henderson, H Jin, ... Journal of Hydrology 519, 2747-2762, 2014 | 144 | 2014 |
| Mining unexpected temporal associations: applications in detecting adverse drug reactions H Jin, J Chen, H He, GJ Williams, C Kelman, CM O'Keefe IEEE Transactions on Information Technology in Biomedicine 12 (4), 488-500, 2008 | 134 | 2008 |
| Mining risk patterns in medical data J Li, AW Fu, H He, J Chen, H Jin, D McAullay, G Williams, R Sparks, ... Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 120 | 2005 |
| An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem HD Jin, KS Leung, ML Wong, ZB Xu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 116 | 2003 |
| Deep weakly-supervised anomaly detection G Pang, C Shen, H Jin, A van den Hengel Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 110 | 2023 |
| A segmented topic model based on the two-parameter Poisson-Dirichlet process L Du, W Buntine, H Jin Machine learning 81, 5-19, 2010 | 105 | 2010 |
| PutMode: prediction of uncertain trajectories in moving objects databases S Qiao, C Tang, H Jin, T Long, S Dai, Y Ku, M Chau Applied Intelligence 33, 370-386, 2010 | 99 | 2010 |
| Expanding self-organizing map for data visualization and cluster analysis H Jin, WH Shum, KS Leung, ML Wong Information Sciences 163 (1-3), 157-173, 2004 | 82 | 2004 |
| Sequential latent Dirichlet allocation L Du, W Buntine, H Jin, C Chen Knowledge and information systems 31, 475-503, 2012 | 79 | 2012 |
| Bayesian space-time model to analyse frost risk for agriculture in Southeast Australia S Crimp, KS Bakar, P Kokic, H Jin, N Nicholls, M Howden | 77 | 2014 |
| Scalable model-based clustering for large databases based on data summarization H Jin, ML Wong, KS Leung IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (11), 1710 …, 2005 | 75 | 2005 |
| Signaling potential adverse drug reactions from administrative health databases H Jin, J Chen, H He, C Kelman, D McAullay, CM O'Keefe IEEE Transactions on knowledge and data engineering 22 (6), 839-853, 2010 | 63 | 2010 |
| Highly efficient water splitting driven by zinc-air batteries with a single catalyst incorporating rich active species H Sun, Q Li, Y Lian, C Zhang, P Qi, Q Mu, H Jin, B Zhang, M Chen, ... Applied Catalysis B: Environmental 263, 118139, 2020 | 54 | 2020 |
| Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document L Du, WL Buntine, H Jin IEEE International Conference on Data Mining, 148-157, 2010 | 54 | 2010 |
| A delivery framework for health data mining and analytics D McAullay, G Williams, J Chen, H Jin, H He, R Sparks, C Kelman Proceedings of the Twenty-eighth Australasian conference on Computer Science …, 2005 | 41 | 2005 |
| Mining unexpected associations for signalling potential adverse drug reactions from administrative health databases H Jin, J Chen, C Kelman, H He, D McAullay, CM O’Keefe Pacific-Asia Conference on Knowledge Discovery and Data Mining, 867-876, 2006 | 40 | 2006 |
| Temporal sequence associations for rare events J Chen, H He, G Williams, H Jin Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-239, 2004 | 39 | 2004 |
| CenKNN: a scalable and effective text classifier G Pang, H Jin, S Jiang Data Mining and Knowledge Discovery 29 (3), 593-625, 2015 | 38 | 2015 |
K. Shuvo BakarSenior Lecturer, School of Public Health, University of Sydney在 sydney.edu.au 的电子邮件经过验证
