| 2008 |
| 24 | EE | Xiaoxun Sun,
Hua Wang,
Jiuyong Li:
On the Complexity of Restricted k-anonymity Problem.
APWeb 2008: 287-296 |
| 2007 |
| 23 | EE | Jiuyong Li,
Xiaodi Huang,
Clinton Selke,
Jianming Yong:
A Fast Algorithm for Finding Correlation Clusters in Noise Data.
PAKDD 2007: 639-647 |
| 2006 |
| 22 | EE | Hua Wang,
Jiuyong Li,
Ron Addie,
Stijn Dekeyser,
Richard Watson:
A framework for role-based group deligation in distributed environments.
ACSC 2006: 321-328 |
| 21 | EE | Jiuyong Li,
Raymond Chi-Wing Wong,
Ada Wai-Chee Fu,
Jian Pei:
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures.
DaWaK 2006: 405-416 |
| 20 | EE | Raymond Chi-Wing Wong,
Jiuyong Li,
Ada Wai-Chee Fu,
Ke Wang:
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing.
KDD 2006: 754-759 |
| 19 | EE | Jiuyong Li,
Jason Jones:
Classification Using Multiple and Negative Target Rules.
KES (1) 2006: 212-219 |
| 18 | EE | Hong Hu,
Jiuyong Li,
Hua Wang,
Grant Daggard:
Combined Gene Selection Methods for Microarray Data Analysis.
KES (1) 2006: 976-983 |
| 17 | EE | Jiuyong Li:
On Optimal Rule Discovery.
IEEE Trans. Knowl. Data Eng. 18(4): 460-471 (2006) |
| 16 | EE | Jiuyong Li:
Robust Rule-Based Prediction.
IEEE Trans. Knowl. Data Eng. 18(8): 1043-1054 (2006) |
| 15 | EE | Jiuyong Li,
Jason Jones:
Using multiple and negative target rules to make classifiers more understandable.
Knowl.-Based Syst. 19(6): 438-444 (2006) |
| 2005 |
| 14 | EE | Hong Hu,
Jiuyong Li:
Using Association Rules to Make Rule-based Classifiers Robust.
ADC 2005: 47-54 |
| 13 | EE | Xiangsheng Chen,
Jiuyong Li,
Grant Daggard,
Xiaodi Huang:
Finding Similar Patterns in Microarray Data.
Australian Conference on Artificial Intelligence 2005: 1272-1276 |
| 12 | 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 |
| 11 | 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 |
| 10 | EE | Jiuyong Li,
Hong Shen,
Rodney W. Topor:
Mining Informative Rule Set for Prediction.
J. Intell. Inf. Syst. 22(2): 155-174 (2004) |
| 2003 |
| 9 | 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 |
| 8 | EE | Jiuyong Li,
Yanchun Zhang:
Direct Interesting Rule Generation.
ICDM 2003: 155-162 |
| 2002 |
| 7 | EE | Jiuyong Li,
Rodney W. Topor,
Hong Shen:
Construct robust rule sets for classification.
KDD 2002: 564-569 |
| 6 | EE | Jiuyong Li,
Hong Shen,
Rodney W. Topor:
Mining the optimal class association rule set.
Knowl.-Based Syst. 15(7): 399-405 (2002) |
| 2001 |
| 5 | | Jiuyong Li,
Hong Shen,
Rodney W. Topor:
Mining the Smallest Association Rule Set for Predictions.
ICDM 2001: 361-368 |
| 4 | EE | Jiuyong Li,
Hong Shen,
Rodney W. Topor:
Mining Optimal Class Association Rule Set.
PAKDD 2001: 364-375 |
| 1999 |
| 3 | | Jiuyong Li,
Hong Shen,
Rodney W. Topor:
An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining.
ICSC 1999: 41-50 |
| 2 | | Jiuyong Li,
Hong Shen,
Paul Pritchard:
Mining Significant Association Rules (Short Version).
PDPTA 1999: 1458-1461 |
| 1 | | Jiuyong Li,
Hong Shen,
Paul Pritchard:
Knowledge Network Based Association Discovery (Preliminary Version).
PDPTA 1999: 1558-1563 |