2008 |
21 | 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 |
20 | EE | Huidong Jin,
Jie Chen,
Hongxing He,
Christine M. O'Keefe:
Privacy-Preserving Sequential Pattern Release.
PAKDD 2007: 547-554 |
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 | Hongxing He,
Huidong Jin,
Jie Chen:
Automatic Feature Selection for Classification of Health Data.
Australian Conference on Artificial Intelligence 2005: 910-913 |
14 | 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 |
13 | 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 |
2004 |
12 | EE | Hongxing He,
Graham J. Williams,
Jie Chen,
Simon Hawkins,
Chris Kelman:
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.
DaWaK 2004: 199-208 |
11 | EE | Jie Chen,
Hongxing He,
Graham J. Williams,
Huidong Jin:
Temporal Sequence Associations for Rare Events.
PAKDD 2004: 235-239 |
2003 |
10 | EE | Lifang Gu,
Jiuyong Li,
Hongxing He,
Graham J. Williams,
Simon Hawkins,
Chris Kelman:
Association Rule Discovery with Unbalanced Class Distributions.
Australian Conference on Artificial Intelligence 2003: 221-232 |
2002 |
9 | EE | Graham J. Williams,
Rohan A. Baxter,
Chris Kelman,
Chris P. Rainsford,
Hongxing He,
Lifang Gu,
Deanne Vickers,
Simon Hawkins:
Estimating Episodes of Care Using Linked Medical Claims Data.
Australian Joint Conference on Artificial Intelligence 2002: 660-671 |
8 | EE | Simon Hawkins,
Hongxing He,
Graham J. Williams,
Rohan A. Baxter:
Outlier Detection Using Replicator Neural Networks.
DaWaK 2002: 170-180 |
7 | EE | Graham J. Williams,
Rohan A. Baxter,
Hongxing He,
Simon Hawkins,
Lifang Gu:
A Comparative Study of RNN for Outlier Detection in Data Mining.
ICDM 2002: 709-712 |
2001 |
6 | EE | Rohan A. Baxter,
Graham J. Williams,
Hongxing He:
Feature Selection for Temporal Health Records.
PAKDD 2001: 198-209 |
2000 |
5 | | Hongxing He,
Hari Koesmarno,
Thach Van,
Zhexue Huang:
Data Mining in Disease Management - A Diabetes Case Study.
PRICAI 2000: 799 |
4 | EE | Hongxing He,
Simon Hawkins,
Warwick Graco,
Xin Yao:
Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem.
JACIII 4(2): 130-137 (2000) |
1999 |
3 | EE | Hongxing He,
Simon Hawkins:
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem.
PAKDD 1999: 365-369 |
1998 |
2 | EE | Hongxing He,
Warwick Graco,
Xin Yao:
Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection.
SEAL 1998: 74-81 |
1997 |
1 | | Hongxing He,
Zhexue Huang:
Boosting Neural Networks in Real Worls Applications: An Empirical Study.
Australian Joint Conference on Artificial Intelligence 1997: 321-329 |