A fitting model for feature selection with fuzzy rough sets

Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin.

Fuzzy rough set is an important rough set model used for feature selection. It uses the fuzzy rough dependency as a criterion for feature selection. However, this model can merely maintain a maximal dependency function.

IEEE Transactions on Fuzzy Systems, 2016 (In Press).

Space structure and clustering of categorical data.

Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang

Learning from categorical data plays a fundamental role in such areas as pattern recognition, machine learning, data mining, and knowledge discovery. To effectively discover the group structure inherent in a set of categorical objects

IEEE Transactions on Neural Networks and Learning Systems ,2016, 27(10): 2047-2059.

An approach to cold-start link prediction: establishing connections between non-topological and topological information

Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian

Cold-start link prediction is a term for information starved link prediction where little or no topological information is present to guide the determination of whether links to a node will form.

IEEE Transactions on Knowledge and Data Engineering,2016, 28(11), 2857-2870.