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Liyun He :
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Honghai Feng , Zhao Shuo , Baoyan Liu , Liyun He , Bingru Yang , Yueli Li Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method. [Citation Graph (0, 0)][DBLP ] IEA/AIE, 2006, pp:1290-1298 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] IICAI, 2005, pp:2411-2419 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] Industrial Conference on Data Mining - Posters, 2006, pp:244-252 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] K-CAP, 2005, pp:201-202 [Conf ] Honghai Feng , Baoyan Liu , Liyun He , Bingru Yang , Yueli Li , Zhao Shuo Using Rough Set to Induce More Abstract Rules from Rule Base. [Citation Graph (0, 0)][DBLP ] KES (1), 2006, pp:498-505 [Conf ] Honghai Feng , Baoyan Liu , Liyun He , Bingru Yang , Yumei Chen , Zhao Shuo An Algorithm for Eliminating the Inconsistencies Caused During Discretization. [Citation Graph (0, 0)][DBLP ] KES (1), 2006, pp:145-152 [Conf ] Honghai Feng , Baoyan Liu , Liyun He , Bingru Yang , Yueli Li A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes. [Citation Graph (0, 0)][DBLP ] KES (1), 2006, pp:1029-1036 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] KES (1), 2006, pp:714-719 [Conf ] Search in 0.001secs, Finished in 0.002secs