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 |