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Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application., , и . K-CAP, стр. 201-202. ACM, (2005)A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values., , , , и . IICAI, стр. 2411-2419. IICAI, (2005)Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method., , , , , и . IEA/AIE, том 4031 из Lecture Notes in Computer Science, стр. 1290-1298. Springer, (2006)A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes., , , , и . KES (1), том 4251 из Lecture Notes in Computer Science, стр. 1029-1036. Springer, (2006)Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data., , , , и . KES (4), том 3684 из Lecture Notes in Computer Science, стр. 89-93. Springer, (2005)An entity relation extraction algorithm based on BERT(wwm-ext)-BiGRU-Attention., , , , , и . CIAT, стр. 130-135. ACM, (2020)Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table., , , , , и . KES (1), том 4251 из Lecture Notes in Computer Science, стр. 714-719. Springer, (2006)A SVM Regression Based Approach to Filling in Missing Values., , , , и . KES (3), том 3683 из Lecture Notes in Computer Science, стр. 581-587. Springer, (2005)Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set., , , , , и . ICDM (Posters), стр. 244-252. (2006)Using Rough Set to Induce More Abstract Rules from Rule Base., , , , , и . KES (1), том 4251 из Lecture Notes in Computer Science, стр. 498-505. Springer, (2006)