工程图学学报

[1] 王德兴, 胡学钢,刘晓平. 基于概念格的属性归纳算法研究. 计算机学报(已录用，待发表), 2008.[2] 王德兴,胡学钢, 刘晓平. 基于量化扩展概念格的属性归纳算法研究. 模式识别与人工智能, (6):843-848[3] 王德兴,胡学钢, 刘晓平. 基于量化扩展概念格的属性归纳算法与关联规则挖掘研究. 系统工程学报(已录用,待发表),2008.[4] 王德兴,胡学钢, 刘晓平. 一种新颖的基于量化概念格的属性归纳算法. 西安交通大学学报, 41(2):176-179.[5] 刘晓平,王德兴, 胡学钢. 基于概念格模板优化的关联规则挖掘. 工程图学学报, , 27(6):26-30[6] 王德兴,胡学钢,刘晓平, 王浩. 改进购物篮分析的关联规则挖掘算法研究, 重庆大学学报, 2006, 29(6):105-107.[7] 王德兴,胡学钢,刘晓平,王浩. 基于概念格和Apriori算法的关联规则挖掘分析, 合肥工业大学学报, 2006, 29(6):699-702.[8] Dexing Wang, Xuegang Hu, Xiaoping Liu, Hao Rules Mining on Concept Lattice Using Domain Knowledge. In: IEEE Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, , 2005, p2151-2154 (EI、ISTP索引)[9] Dexing Wang, Xuegang Hu, Xiaoping Liu, Hao Wang, Research on Model of Association Rules Mining with Added-newly Measure Criteria. In: IEEE Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, Aug. 24-29, 2004, p1187-1190. (EI、ISTP索引).[10]王德兴, 胡学钢, 王浩. 基于量化概念格的关联规则挖掘. 合肥工业大学学报(自然科学),(5):678-682[11]王德兴, 胡学钢, 王浩. 基于概念格的兴趣度加权的关联规则挖掘模型研究. 南京大学学报（自然科学版）,计算机专辑,[12]Dexing Wang, Xuegang Hu, Hao Wang. The Research on Model of Mining Association Rules Based on Quantitative Extended Concept Lattice, In: IEEE Proceedings of the First International Conference on Machine Learning and Cybernetics, Nov., 2002, Beijing, p134-138. (EI、ISTP索引)[13] 胡学刚,徐勇,王德兴,张晶 基于多剪枝格的频繁项集表示与挖掘 合肥工业大学学报 (4) :432-435[14] Xuegang Hu, Xiang Wei, Dexing Wang, Peipei Li. A Parallel Algorithm to Construct Concept Lattice. Fuzzy Systems And Knowledge Discovery (Fskd'07),Jingsheng Lei, Jian Yu(eds), The IEEE Computer Society Press,. Vol 2, p119-123 (EI索引)[15]Xuegang Hu, Dexing Wang, Xiaoping Liu, Hao Wang. The Analysis on Model of Association Rules Mining Based on Concept Lattice and Aprori Algorithm, In: IEEE Proceedings of the 3rd International Conference on Machine Learning and Cybernetics, Shanghai, . p1620-1624. (EI、ISTP索引)[16]Xuegang Hu, Xiefei Hu, Dexing Wang, Dongyan, Zhang, Chunling Hu. A Classification Algorithm Based on Multi-Relation Domain Knowledge. In: IEEE Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, , 2005. p2067-2072