Honghai Feng - researchr alias

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Viewing Publication 1 - 16 from 16

2022

Construction of disease-pathological feature knowledge graph based on entity recognition and relation extractionJun Li, Honghai Feng, Pengcheng Zhou, Ruihui Hou, Yaju Wei, Yanyan Chen. csci 2022: 1622-1627 [doi]

2020

An entity relation extraction algorithm based on BERT(wwm-ext)-BiGRU-AttentionRuihui Hou, Hanhao Li, Honghai Feng, Yunpeng Li, Jun Li, Yatian Shen. ciat 2020: 130-135 [doi]

Simultaneous learning algorithm for multiple sets of synonyms with different semanticsYaju Wei, Hanhao Li, Honghai Feng, Pengcheng Zhou, Xuzhao Lu, Yatian Shen. ciat 2020: 143-147 [doi]

2014

A New Rough Set Based Classification Rule Generation Algorithm(RGA)Honghai Feng, Yanyan Chen, Kaiwei Zou, Lijuan Liu, Qiannan Zhu, Zhuo Ran, Li Yao, Lijin Ji, Sai Liu. ieaaie 2014: 369-378 [doi]

2006

Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix MethodHonghai Feng, Zhao Shuo, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. ieaaie 2006: 1290-1298 [doi]

Using Rough Set to Induce More Abstract Rules from Rule BaseHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo. kes 2006: 498-505 [doi]

An Algorithm for Eliminating the Inconsistencies Caused During DiscretizationHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo. kes 2006: 145-152 [doi]

Using Rough Set to Induce All Kinds of Positive Region Knowledge and It s use in SARS Data SetHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Shuo Zhao. incdm 2006: 244-252

A Discretization Algorithm That Keeps Positive Regions of All the Decision ClassesHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. kes 2006: 1029-1036 [doi]

Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information TableHonghai Feng, Xu Hao, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li. kes 2006: 714-719 [doi]

Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition AttributesHonghai Feng, Hao Xu, Baoyan Liu, Bingru Yang, Zhuye Gao, Yueli Li. ideal 2006: 713-720 [doi]

2005

A SVM Regression Based Approach to Filling in Missing ValuesHonghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang, Yumei Chen. kes 2005: 581-587 [doi]

Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data applicationHonghai Feng, Baoyan Liu, Liyun He. kcap 2005: 201-202 [doi]

A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing ValuesHonghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Huang Yong. iicai 2005: 2411-2419

Using Rough Set to Induce Comparative Knowledge and Its Use in SARS DataHonghai Feng, Yin Cheng, Mingyi Liao, Bingru Yang, Yumei Chen. kes 2005: 89-93 [doi]

Using Rough Set to Reduce SVM Classifier Complexity and Its Use in SARS Data SetHonghai Feng, Baoyan Liu, Yin Cheng, Ping Li, Bingru Yang, Yumei Chen. kes 2005: 575-580 [doi]

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