2009 | ||
---|---|---|
32 | EE | Ke Zhang, Marcus Hutter, Huidong Jin: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD 2009: 813-822 |
31 | EE | Ke Zhang, Marcus Hutter, Huidong Jin: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data CoRR abs/0903.3257: (2009) |
2008 | ||
30 | EE | Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu: Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence 2008: 470-481 |
29 | EE | Shaojie Qiao, Changjie Tang, Huidong Jin, Shucheng Dai, Xingshu Chen: Constrained k-closest pairs query processing based on growing window in crime databases. ISI 2008: 58-63 |
28 | EE | Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu: A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI 2008: 70-75 |
27 | EE | Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli: A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops 2008: 217-228 |
26 | EE | Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe: Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Transactions on Information Technology in Biomedicine 12(4): 488-500 (2008) |
2007 | ||
25 | EE | Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu: Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) 2007: 482-491 |
24 | EE | Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle: A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. Australian Conference on Artificial Intelligence 2007: 694-698 |
23 | EE | Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington: Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA 2007: 23-29 |
22 | EE | Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe: Privacy-Preserving Sequential Pattern Release. PAKDD 2007: 547-554 |
21 | EE | Huidong Jin: Practical Issues on Privacy-Preserving Health Data Mining. PAKDD Workshops 2007: 64-75 |
20 | EE | Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli: Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops 2007: 99-109 |
2006 | ||
19 | EE | Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon: Analysis of Breast Feeding Data Using Data Mining Methods. AusDM 2006: 47-52 |
18 | EE | Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen: Stock Trend Analysis and Trading Strategy. JCIS 2006 |
17 | EE | Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe: Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. PAKDD 2006: 867-876 |
16 | EE | Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman: Identifying Risk Groups Associated with Colorectal Cancer. Selected Papers from AusDM 2006: 260-272 |
2005 | ||
15 | EE | Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin: A Delivery Framework for Health Data Mining and Analytics. ACSC 2005: 381-390 |
14 | EE | Hongxing He, Huidong Jin, Jie Chen: Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence 2005: 910-913 |
13 | EE | Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman: Mining risk patterns in medical data. KDD 2005: 770-775 |
12 | EE | Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman: Representing Association Classification Rules Mined from Health Data. KES (3) 2005: 1225-1231 |
11 | EE | Huidong Jin, Man Leung Wong, Kwong-Sak Leung: Scalable Model-Based Clustering for Large Databases Based on Data Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1710-1719 (2005) |
10 | EE | Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zong-Ben Xu: Scalable model-based cluster analysis using clustering features. Pattern Recognition 38(5): 637-649 (2005) |
2004 | ||
9 | EE | Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin: Temporal Sequence Associations for Rare Events. PAKDD 2004: 235-239 |
8 | EE | Huidong Jin, Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong: Expanding Self-Organizing Map for data visualization and cluster analysis. Inf. Sci. 163(1-3): 157-173 (2004) |
7 | EE | Kwong-Sak Leung, Huidong Jin, Zong-Ben Xu: An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62: 267-292 (2004) |
2003 | ||
6 | EE | Huidong Jin, Man Leung Wong, Kwong-Sak Leung: Scalable Model-based Clustering by Working on Data Summaries. ICDM 2003: 91-98 |
5 | Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zong-Ben Xu: An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(6): 877-888 (2003) | |
2002 | ||
4 | EE | Wing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Leung Wong: A Self-Organizing Map with Expanding Force for Data Clustering and Visualization. ICDM 2002: 434-441 |
3 | EE | Huidong Jin, Kwong-Sak Leung, Man Leung Wong: Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. IDEAL 2002: 569-575 |
2 | EE | Zong-Ben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong: An automata network for performing combinatorial optimization. Neurocomputing 47(1-4): 59-83 (2002) |
2000 | ||
1 | Huidong Jin, Kwong-Sak Leung, Man Leung Wong: Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms. GECCO 2000: 1079 |