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2016年代表性论文
时间:2016-12-31 作者:

[1] Yanli Sang, Jiye Liang, Yuhua Qian. Decision-theoreticroughsetsunderdynamicgranulation, Knowledge-Based Systems, 2016, 91:84-92.

[2] GuopingLin, Jiye Liang, Yuhua Qian, JinjinLi. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91:102-113.

[3] Hexiang Bai, Deyu Li, Yong Ge, JinfengWang. Detecting nominal variables spatial associations using conditional probabilities of neighboring surface objects categories, Information Sciences, 2016, 329:701-718.

[4] Yinfeng Meng, Jiye Liang, Yuhua Qian. Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97:224–236.

[5] Feng Wang, Jiye Liang. An efficient feature selection algorithm for hybrid data, Neurocomputing, 2016, 193:33–41.

[6] Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang. Fuzzy rough approximations for set-valued data, Information Sciences, 2016, 360:181–201.

[7] Juan Lu, Deyu Li, Yanhui Zhai, Hua Li, Hexiang Bai. A model for type-2 fuzzy rough sets, Information Sciences, 2016, 328:359-377.

[8] Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang. A novel attribute reduction approach for multi-label data based on rough set theory, Information Sciences, 2016, in press.

[9] Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen. An optimization model for clustering categorical data streams with drifting concepts, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2871-2883.

[10] Husheng Guo, Wenjian Wang. Support vector machine based on hierarchical and dynamical granulation, Neurocomputing, 2016, 211:22–33.

[11] Shuliang Xu, Junhong Wang. A fast incremental extreme learning machine algorithm for data streams classification, Expert Systems with Applications, 2016, 65:332–344.

[12] Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang. Space structure and clustering of categorical data, IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(10):2047-2059.

[13] Gaoxia Jiang, Wenjian Wang. Markov cross-validation for time series model evaluations, Information Sciences, 2016, in press.

[14] Xuefei Bai, Wenjian Wang. Principal pixel analysis and SVM for automatic image segmentation, Neural Computing and Applications, 2016, 27(1):45–58.

[15] Peng Zhang, Suge Wang, Deyu Li. Cross-lingual sentiment classification: Similarity discovery plus training data adjustment, Knowledge-Based Systems, 2016, 107:129–141.

[16] Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian. An approach to cold-start link prediction:establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2857- 2870.

[17] 史倩玉, 梁吉业, 赵兴旺. 一种不完备混合数据集成聚类算法, 计算机研究与发展, 2016, 53(9):1979-1989.

[18] 任丽芳, 王文剑, 许行. 不确定感知的自适应云计算服务组合, 计算机研究与发展, 2016, 53(12):2867-2881.

[19] 梁吉业, 钱宇华, 李德玉, 胡清华. 面向大数据的粒计算理论与方法研究进展, 大数据, 2016, 4:13-23.

[20] 梁吉业, 冯晨娇, 宋鹏. 大数据相关分析综述, 计算机学报, 2016, 39(1):1-18.

[21] 赵兴旺, 梁吉业. 一种基于信息熵的混合数据属性加权聚类算法, 计算机研究与发展, 2016, 53(5):1018-1028.

[22] 王智强, 李茹, 梁吉业, 张旭华, 武娟, 苏娜. 基于汉语篇章框架语义分析的阅读理解问答研究, 计算机学报, 2016, 39(4):795-807.