| 2006 |
|---|
| 8 | EE | Honghai Feng,
Zhao Shuo,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method.
IEA/AIE 2006: 1290-1298 |
| 7 | | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yumei Chen,
Shuo Zhao:
Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set.
Industrial Conference on Data Mining - Posters 2006: 244-252 |
| 6 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes.
KES (1) 2006: 1029-1036 |
| 5 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yumei Chen,
Zhao Shuo:
An Algorithm for Eliminating the Inconsistencies Caused During Discretization.
KES (1) 2006: 145-152 |
| 4 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li,
Zhao Shuo:
Using Rough Set to Induce More Abstract Rules from Rule Base.
KES (1) 2006: 498-505 |
| 3 | EE | Honghai Feng,
Xu Hao,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table.
KES (1) 2006: 714-719 |
| 2005 |
|---|
| 2 | | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Huang Yong:
A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values.
IICAI 2005: 2411-2419 |
| 1 | EE | Honghai Feng,
Baoyan Liu,
Liyun He:
Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application.
K-CAP 2005: 201-202 |
