Honghai Feng

According to our database, Honghai Feng authored at least 16 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Construction of disease-pathological feature knowledge graph based on entity recognition and relation extraction.

Jun Li, Honghai Feng, Pengcheng Zhou, Ruihui Hou, Yaju Wei, Yanyan Chen

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2020

Simultaneous learning algorithm for multiple sets of synonyms with different semantics.

Yaju Wei, Hanhao Li, Honghai Feng, Pengcheng Zhou, Xuzhao Lu, Yatian Shen

Proceedings of the CIAT 2020: International Conference on Cyberspace Innovation of Advanced Technologies, 2020

An entity relation extraction algorithm based on BERT(wwm-ext)-BiGRU-Attention.

Ruihui Hou, Hanhao Li, Honghai Feng, Yunpeng Li, Jun Li, Yatian Shen

Proceedings of the CIAT 2020: International Conference on Cyberspace Innovation of Advanced Technologies, 2020

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

Proceedings of the Modern Advances in Applied Intelligence, 2014

2006

Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table.

Honghai Feng, Hao Xu, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes.

Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

An Algorithm for Eliminating the Inconsistencies Caused During Discretization.

Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Using Rough Set to Induce More Abstract Rules from Rule Base.

Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li, Zhao Shuo

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set.

Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Yumei Chen, Zhao Shuo

Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006

Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method.

Honghai Feng, Zhao Shuo, Baoyan Liu, Liyun He, Bingru Yang, Yueli Li

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes.

Honghai Feng, Hao Xu, Baoyan Liu, Bingru Yang, Zhuye Gao, Yueli Li

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005

Using Rough Set to Reduce SVM Classifier Complexity and Its Use in SARS Data Set.

Honghai Feng, Baoyan Liu, Yin Cheng, Ping Li, Bingru Yang, Yumei Chen

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A SVM Regression Based Approach to Filling in Missing Values.

Honghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang, Yumei Chen

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data.

Honghai Feng, Yin Cheng, Mingyi Liao, Bingru Yang, Yumei Chen

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Using rough set to induce dependencies between attributes where there are a large amount of missing values: a SARS data application.

Honghai Feng, Baoyan Liu, Liyun He

Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), 2005

A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values.

Honghai Feng, Baoyan Liu, Liyun He, Bingru Yang, Huang Yong

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005