Refereed Publications


 Selected Publications on ML & DM  |  Selected Publications on Software Engineering  | Full List

----------- Selected Publications on Machine Learning & Data Mining


  Xueying Zhang and Qinbao Song: A Multi-label Learning Based Kernel Automatic Recommendation Method for Support Vector Machines,   PLoS ONE vol. 10, no. 3, pp. e0120455, 2015.

  Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, and Qinbao Song:  Backward Path Growth for Efficient Mobile Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 27, no. 1, pp. 46-60, 2015.

 

  Zhongbin Sun, Qinbao Song , Xiaoyan Zhu, Heli Sun, Baowen Xu and Yuming Zhou: A Novel Ensemble Method for Classifying Imbalanced DataPattern Recognition, vol. 48, No. 5,  pp 1623-16372015.   You can freely downloaded the Java package HERE.

 ► Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, and Femi Omitaomu:  Metric Ranking of Invariant Networks with Belief Propagation, IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, December 14-17, 2014. 

 

► Lei Zhu, Qinbao Song, Yuchen Guo, Lei Du, Guangtao Wang, and Xiaoyan Zhu:  A coding method for efficient subgraph querying on vertex- and edge-labeled graphs, PLoS ONE, vol. 9, no. 5, pp. e97178, 2014.

► Guangtao Wang, Qinbao Song, Xueying Zhang, and Kaiyuan Zhang:  A Generic Multi-label Learning Based Classification Algorithm Recommendation Method, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 9, no. 1, pp. 7:1-7:30, 2014.  You can freely downloaded the software tool  HERE.

  Guangtao Wang, Qinbao Song, Heli Sun,  Xueying Zhang, Baowen Xu and Yuming Zhou:  A Feature Subset Selection Algorithm Automatic Recommendation Method, Journal of Artificial Intelligence Researchvol. 47, pp 1-34, 2013. 

  Guangtao Wang, Qinbao Song, Baowen Xu and Yuming Zhou:  Selecting Feature Subset for High Dimensional Data via the Propositional FOIL Rules, Pattern Recognitionvol. 46, no. 1, pp 199-2142013.  You can freely downloaded the software tool  HERE.

  Qinbao Song, Jingjie Ni, and Guangtao Wang:  A Fast Clustering-Based Feature Subset Selection Algorithm for High Dimensional Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 25, no. 1, pp 1-14, 2013.  

You can freely downloaded the Java package HERE.

 

  Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng and Jiawei Han:  Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network, IEEE Transactions on Knowledge and Data Engineering (TKDE),  vol. 25, no. 8, pp 1876-1889, 2013. 

  Qinbao Song, Guangtao Wang and Chao Wang:  Automatic Recommendation of Classification Algorithms Based on Data Set Characteristics, Pattern Recognition, vol. 45, no. 7, pp 2672-2689, 2012.    You can freely downloaded the software tool  HERE.
  Lei Zhu and Qinbao Song:  A Study of Laplacian Spectra of Graph for Subgraph Queries, IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14, 2011. 

 

  Jianbin Huang, Heli Sun, Yaguang Liu, Qinbao Song, and Tim Weninger:  Towards online multiresolution community detection in large-scale networks. PLoS ONE, vol. 6, no. 8, pp e23829, 2011.

 

----------- Selected Publications on Software Engineering 

 

  Martin Shepperd, Qinbao Song, Zhongbin Sun and Carolyn Mair:  Data Quality: Some Comments on the NASA Software Defect Data Sets, IEEE Transactions on Software Engineering (TSE), vol. 39, no. 9, pp 1208-12152013. 

  Zhongbin Sun, Qinbao Song, and Xiaoyan Zhu:  Using Coding Based Ensemble Learning to Improve Software Defect Prediction IEEE Transactions on Systems, Man, and Cybernetics (TSMC),  vol. 42, no. 6, pp 1806 - 1817, 2012.   You can freely downloaded the Java package HERE.

 
  Qinbao Song, Zihan Jia, Martin Shepperd, Shi Ying, and Jin Liu:  A General Software Defect-Proneness Prediction Framework. IEEE Transactions on Software Engineering (TSE), vol. 37, no. 3, pp 356-370, 2011.

  Yong Wang, Qinbao Song, Stephen MacDonell, Martin Shepperd, and Junyi Shen:  Integrate the GM(1,1) and Verhulst Models to Predict Software Stage Effort. IEEE Transactions on Systems, Man, and Cybernetics (TSMC), vol. 39, no. 6,  pp 647 - 658, 2009.

  Qinbao Song, Martin Shepperd, Michelle Cartwright, and Carolyn Mair:  Software Defect Association Mining and Defect Correction Effort Prediction. IEEE Transactions on Software Engineering (TSE). vol. 32, no. 2, pp 69-82, 2006.  You can freely downloaded the software tool  HERE.

  Qinbao Song, Martin Shepperd, and Carolyn Mair:  Using Grey Relational Analysis to Predict Software Effort with Small Data Sets.  IEEE International Software Metrics Symposium (METRICS 2005), Como, Itly: IEEE Computer Society, 19-22 Sept. 2005. (Best paper

                                         Top

Full List

 

Xueying Zhang, Qinbao Song, Guangtao Wang, Kaiyuan Zhang, Liang He, Xiaolin Jia: A dissimilarity-based imbalance data classification algorithm. Appl. Intell. 42(3): 544-565 (2015)

 

  Xueying Zhang and Qinbao Song: A Multi-label Learning Based Kernel Automatic Recommendation Method for Support Vector Machines,   PLoS ONE vol. 10, no. 3, pp. e0120455, 2015.  

Lei Du, Qinbao Song, Lei Zhu, Xiaoyan Zhu: A Selective Detector Ensemble for Concept Drift Detection. Comput. J. 58(3): 457-471 (2015)

 

Yangyang Zhao, Yibiao Yang, Hongmin Lu, Yuming Zhou, Qinbao Song, Baowen Xu: An empirical analysis of package-modularization metrics: Implications for software fault-proneness. Information & Software Technology 57: 186-203 (2015)

  

Heli Sun, Jianbin Huang, Xinwei She, Zhou Yang, Jiao Liu, Jianhua Zou, Qinbao Song, Dong Wang: TripRec: An Efficient Approach for Trip Planning with Time Constraints. IJDWM 11(1): 45-65 (2015)

  

Zhongbin Sun, Qinbao Song, Xiaoyan Zhu, Heli Sun, Baowen Xu, Yuming Zhou: A novel ensemble method for classifying imbalanced data. Pattern Recognition 48(5): 1623-1637 (2015)

 

Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song: Backward Path Growth for Efficient Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 27(1): 46-60 (2015)

 

► Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, and Femi Omitaomu:  Metric Ranking of Invariant Networks with Belief Propagation, IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, December 14-17, 2014.

 

Heli Sun, Jianbin Huang, Xiang Zhong, Ke Liu, Jianhua Zou, Qinbao Song: Label Propagation with α-Degree Neighborhood Impact for Network Community Detection. Comp. Int. and Neurosc. 2014: 130689:1-130689:9 (2014)

  

Lei Du, Qinbao Song, Xiaolin Jia: Detecting concept drift: An information entropy based method using an adaptive sliding window. Intell. Data Anal. 18(3): 337-364 (2014)

  

Xueying Zhang, Qinbao Song: Predicting the number of nearest neighbors for the k-NN classification algorithm. Intell. Data Anal. 18(3): 449-464 (2014)

 

Heli Sun, Jianbin Huang, Xin Zhang, Jiao Liu, Dong Wang, Huailiang Liu, Jianhua Zou, Qinbao Song: IncOrder: Incremental density-based community detection in dynamic networks. Knowl.-Based Syst. 72: 1-12 (2014)

  

Guangtao Wang, Qinbao Song, Xueying Zhang, Kaiyuan Zhang: A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. TKDD 9(1): 7:1-7:30 (2014)

 

Lei Zhu, Qinbao Song, Yuchen Guo, Lei Du, Guangtao Wang, and Xiaoyan Zhu:  A coding method for efficient subgraph querying on vertex- and edge-labeled graphs, PLOS ONE, vol. 9, no. 5, pp. e97178, 2014.

 

Guangtao Wang, Qinbao Song: A novel feature subset selection algorithm based on association rule mining. Intell. Data Anal. 17(5): 803-835 (2013)

  

Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou: A Feature Subset Selection Algorithm Automatic Recommendation Method. J. Artif. Intell. Res. (JAIR) 47: 1-34 (2013)

  

Xiaoyan Zhu, Qinbao Song, Zhongbin Sun: Automated Identification of Change-Prone Classes in Open Source Software Projects. JSW 8(2): 361-366 (2013)

  

Jianbin Huang, Heli Sun, Jianmei Kang, Junjie Qi, Hongbo Deng, Qinbao Song: ESC: An efficient synchronization-based clustering algorithm. Knowl.-Based Syst. 40: 111-122 (2013)

 

Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou: Selecting feature subset for high dimensional data via the propositional FOIL rules. Pattern Recognition 46(1): 199-214 (2013)

  

Qinbao Song, Jingjie Ni, Guangtao Wang: A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 25(1): 1-14 (2013)

 

Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han: Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. IEEE Trans. Knowl. Data Eng. 25(8): 1876-1889 (2013)

  

Martin J. Shepperd, Qinbao Song, Zhongbin Sun, Carolyn Mair: Data Quality: Some Comments on the NASA Software Defect Datasets. IEEE Trans. Software Eng. 39(9): 1208-1215 (2013)

 

 Xiaoyan Zhu, Qinbao Song and Zhongbin Sun, An Empirical Analysis of Software Changes on Statement Entity in Java Open Source Projects, International Journal of Open Source Software and Processes, 2013.

 

 Yong Wang, Qinbao Song, and Jin Liu, An Empirical Study on Translation Transformation's effect on GM(1,1), in 2013 International Conference on Cyber Science and Engineering. 2013: Guang Zhou. p. 101-108.

 

 Yong Wang, Qinbao Song, Bo Zeng, and Jin Liu, Simulation Error Characteristics of Grey Model GM(1,1) Under Translation Transformation, in 2013 5th International Conference on Computational Intelligence, Modelling & Simulation. 2013: Seoul. p. 137-141.

 

  Yuming Zhou, Hareton Leung, Qinbao Song, Jianjun Zhao, Hongmin Lu, Lin Chen, Baowen Xu. An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems. SCIENCE CHINA Information Sciences, vol. 55, no. 12, pp 2800-2815, 2012.

 

  Xiaoyan Zhu, Qinbao Song, Zhongbin Sun: An Empirical Analysis of Software Changes on Statement Entity in Java Open Source Projects. International Journal of Open Source Software and Processes, 4(2): 16-31 (2012)

 

  杜磊, 杜星, 宋擒豹. 一种k-NN分类器k值自动选取方法, 控制与决策, 2012.

 

  Xueying Zhang and Qinbao Song, Predicting the number of nearest neighbors for the K-NN classification algorithm, Intelligent Data Analysis Journal, 2012.

 

  Xiaoyan Zhu, Qinbao Song and Zhongbin Sun, Automated Identification of Change-Prone Classes in Open Source Software Projects, Journal of Software,  2012.

 

  Zhongbin Sun, Qinbao Song, Xiaoyan Zhu: Using Coding-Based Ensemble Learning to Improve Software Defect Prediction. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(6): 1806-1817 (2012)


  Lei Du and Qinbao Song, A Simple Classifier Based on a Single Attribute,  14th IEEE International Conference on High Performance Computing and Communications (HPCC-2012), Liverpool, UK, Jun 25-27, 2012.

  Qinbao Song, Guangtao Wang and Chao Wang. Automatic Recommendation of Classification Algorithms Based on Data Set Characteristics, Pattern Recognition, vol. 45, no. 7, pp 2672-2689, 2012.

  Guangtao Wang and Qinbao Song. Selecting Feature Subset via Constraint Association Rules (full paper), 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, a leading international conference in the areas of data mining and knowledge discovery), Kuala Lumpur, Malaysia, May 29, 2012 - Jun 1, 2012. Full paper acceptance rate = 20/241 = 8.3% 

  宋擒豹,杜磊. 数据流变化检测研究综述, 计算机应用, vol. 32, no. 2, pp 299-303, 2012.

  Lei Zhu and Qinbao Song. A Study of Laplacian Spectra of Graph for Subgraph Queries, IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada: IEEE Computer Society, December 11-14, 2011.  Acceptance rate = 148/786 = 18.8%

  Jianbin Huang; Heli Sun; Yaguang Liu; Qinbao Song; Tim Weninger. Towards online multiresolution community detection in large-scale networks. PLoS ONE, vol.6, no.8, pp e23829, 2011. 

  Qinbao Song, Zihan Jia, Martin Shepperd, Shi Ying, and Jin Liu. A General Software Defect-Proneness Prediction Framework. IEEE Transactions on Software Engineering, vol. 37, no. 3, pp 356-370, 2011. 

  Qinbao Song and Martin Shepperd. Predicting Software Project Effort: A Grey Relational Analysis Based Method. Expert Systems with Applications, vol.38, pp 7302-7316,2011.

  Xiaoyan Zhu, Qinbao Song, Zihan Jia. A Weighted Voting Based Associative Classification Algorithm. The Computer Journal, vol. 53, no. 6, pp 786-801, 2010. 

  Liang He, Qinbao Song, Junyi Shen and Zhen Hai. Ensemble Numeric Prediction of Nearest-Neighbor Learning. Inform. Technol. J., vol. 9, no. 3, pp 535-544, 2010.

  Zhen Hai, Kuiyu Chang, Qinbao Song, Jung-Jae Kim. A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews, CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp 105-112, 2010.

  Liang He, Qinbao Song, and Junyi Shen. k-NN Numeric Prediction Using Bagging and Instance-relevant Combination. International Symposium on Data, Privacy and E-Commerce, pp 3-8, 2010.

  何亮, 宋擒豹, 海振, 沈钧毅. 基于 Bagging 的组合 k-NN 预测模型与方法, 控制与决策, vol.25, no.1, pp 48-52, 2010.

  Yong Wang, Qinbao Song, Stephen MacDonell, Martin Shepperd, and Junyi Shen. Integrate the GM(1,1) and Verhulst Models to Predict Software Stage Effort. IEEE Trans. Syst. Man Cybern.-Part C, vol.39, no.6, pp 647- 658, 2009.

  Hong Hou, Qinbao Song, Bo Huang and Jiusong He. Research on Workflow Software Trustworthy Evaluation Based on Grey Relation. International Conference on Information Engineering and Computer Science, pp 1- 4, 2009.

  Hong Hou, Shangyu Wang, Qinbao Song. A Business Process Modeling and Verification Architecture. International Conference on Future Information Technology and Management Engineering, pp 73-76, 2009.

  Jiusong He, Hong Hou, Qinbao Song, Kegang Hao. Reference Model of Trustworthy Proof for Trusted Components. International Conference on Future Information Technology and Management Engineering, pp 136-139, 2009.

  Hong Hou, Guifang You, Qinbao Song, Kegang Hao. The Research of Metrics Repository for Business Process Metrics. International Symposium on Computational Intelligence and Design, pp 168-171, 2009.

  Hong Hou, Qinbao Song, Jing Yang, Kegang Hao. The Research of BPM Software Trustworthy Evaluation Model. International Workshop on Education Technology and Computer Science, pp 815-823, 2009.

  Hong Hou, Jiusong He, Qinbao Song, Kegang Hao. The Research of Software Components Trustworthy Evaluation Method. International Conference on Artificial Intelligence and Education, pp 241-246, 2009.

  王勇, 宋擒豹, 沈钧毅. 根据序列变化率预测软件阶段成本. 计算机学报, vol.32, no.7, pp 1346-1355, 2009.

  武建华, 宋擒豹, 沈均毅, 谢建文. 基于关联规则的特征选择算法. 模式识别与人工智能,vol.22, no.2, pp 256-262, 2009.

  王广涛,宋擒豹,车蕊. 一种新的基于信息熵的属性选择算法. 计算机研究与发展,vol.46, pp 509-514, 2009.

  朱晓燕, 宋擒豹. 基于排序的关联分类算法. 计算机科学, vol.36, no.7, pp 204-208, 2009.

  何亮, 宋擒豹, 沈钧毅, 海振. 一种新的组合k-近邻预测方法. 西安交通大学学报, vol.43, no.4, pp 5-9, 2009.

  侯红, 张娟, 宋擒豹. 软件度量筛选研究. 计算机工程与应用, vol.45, no.26, pp34-39, 2009.

  鲁慧民, 冯博琴, 宋擒豹. 频繁子图挖掘研究综述. 微电子学与计算机, vol.26, no.3, pp 155-161, 2009.

  Qinbao Song, Martin Shepperd, Xiangru Chen and Jun Liu. Can k-NN Imputation Improve the Performance of C4.5 with Small Software Project Data Sets? A Comparative Evaluation. Journal of Systems and Software, vol.81, no.12, pp 2361-2370, 2008. 

  Jianhua Wu, Qinbao Song, Junyi Shen. Predicting Missing Data in A Database Using Association Rule Method. Journal of Computational Information Systems, vol.4, no.2,   pp 167-174, 2008.

  Long Zhao, Qinbao Song. Availability and Cost Analysis of A Fault-Tolerant Software System with Rejuvenation. International conference on advanced computer theory and engineering, pp 261-265, 2008.  

  Long Zhao, Qinbao Song, Lei Zhu. Common Software Aging Related Faults in Fault Tolerant Systems. International Conference on Innovation in Software Engineering,  pp 327-331, 2008.

  Jianhua Wu, Qinbao Song, Junyi Shen. Missing Nominal Data Imputation Using Association Rule Based on Weighted Voting Method. IEEE World Congress on Computational Intelligence, pp 1157-1162, 2008.  

  Qinbao Song, Martin Shepperd. Missing Data Imputation Techniques. International Journal on Business Intelligence and Data Mining, vol.2, no.3, pp 261-291, 2007.

  Qinbao Song, Martin Shepperd. 
A New Imputation Method for Small Software Project Data Sets. Journal of Systems and Software, vol.80, no.1, pp 51-62, 2007.

  Jianhua Wu, Qinbao Song, Junyi Shen. Using Association Rule for Missing Data Imputation. Journal of Information and Computational Science, vol.4, no.4, pp 1155-1161, 2007.

  Yong Wang, Qinbao Song, Junyi Shen. Grey Learning Based Software Stage-Effort Estimation. International Conference on Machine Learning and Cybernetics,  pp 1470-1475, 2007.

  Wang Yong, Song Qinbao, Shen Junyi. Grey Prediction Based Software Stage-Effort Estimation. Wuhan University Journal of Natural Sciences, vol.12, no.5, pp 927-931, 2007.

  Jianhua Wu, Qinbao Song, Junyi Shen. A Novel Association Rule Mining Based Missing Nominal Data Imputation Method. International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, pp 244-249, 2007.

  Qinbao Song and Martin Shepperd. Mining Web Browsing Patterns for E-Commerce.  Journal of Computers in Industry, vol.57, no.7 , pp 622-630, 2006.

  Qinbao Song, Martin Shepperd, Michelle Cartwright and Carolyn Mair. Software Defect Association Mining and Defect Correction Effort Prediction. IEEE Transactions on Software Engineering, vol.32, no.2, pp 69-82, 2006. 

  Qinbao Song, Martin Shepperd, Michelle Cartwright. A Short Note on Safest Default Missingness Mechanism Assumptions. Empirical Software Engineering: An International Journal, vol.10, no.2, pp 35-243, 2005.

  Qinbao Song, Martin Shepperd, and Carolyn Mair. Using Grey Relational Analysis to Predict Software Effort with Small Data Sets. IEEE International Software Metrics Symposium, pp 35-44, 2005. (Best paper)

  宋江春, 沈钧毅, 宋擒豹. 一个基于关联规则的多层文档聚类算法. 计算机应用,  pp 1570-1574, vol.25, no.7, 2005. 

  Jiangchun Song, Junyi Shen, and Qinbao Song. A New Document Clustering Algorithm Based on Association Rule. International Conference on Machine Learning and Cybernetics, pp 1310-1313, 2004.

  马兆丰, 冯博琴, 宋擒豹, 王浩鸣. 基于动态许可证的信任版权安全认证协议. 软件学报, vol.15, no.1, pp 131-140, 2004.

  原野, 宋擒豹, 沈钧毅. 一种集成数据挖掘的自动视频分类方法. 计算机工程, vol.30, no.14, pp 11-14, 2004.

  原野, 宋擒豹, 沈钧毅, 倪冰. 一个自动阈值选择的镜头检测算法. 小型微型计算机系统, vol.25, no.7, pp 1337 - 1342, 2004.

  原野, 沈钧毅, 宋擒豹.自动视频分类中的数据预处理. 计算机工程, vol.30, no.4, pp 129 - 132, 2004.

  邢东山, 沈钧毅, 宋擒豹. 集成Web使用挖掘和内容挖掘的用户浏览兴趣迁移挖掘算法. 小型微型计算机系统, vol. 25, no.7, pp 1170 - 1174, 2004.

  M Cartwright, M Shepperd and Q Song. Dealing with Missing Software Project Data. IEEE International Software Metrics Symposium, pp 154 - 165, 2003.

  Jun-Peng Bao, Jun-Yi Shen, Qin-Bao Song. A New Text Feature Extraction Model and Its Application in Document Copy Detection. International Conference on Machine Learning and Cybernetics, vol.1, pp 82-87, 2003.

  Ye Yuan, Jun-Yi Shen, Qin-Bao Song. A New Rule-Based Video Classification Approach. International Conference on Machine Learning and Cybernetics, vol.1, pp 225-230, 2003.

  邢东山, 沈钧毅, 宋擒豹. 从Web日志中挖掘用户浏览偏爱路径. 计算机学报, vol.26, no.11, pp 1518-1523, 2003.

  鲍军鹏, 沈钧毅, 宋擒豹. 自然语言文档复制检测研究综述. 软件学报, vol.14, no.10, pp 1753-1760, 2003.

  马兆丰, 宋擒豹, 刘丹莹, 冯博琴. 一种基于IDEA和ECC算法的数字化防伪认证新方案的研究与实现. 小型微型计算机系统, vol. 24, no. 9, pp 1707 - 1711, 2003.

  马兆丰, 冯博琴, 宋擒豹, 刘丹莹. 面向认证的传统商品数字化防伪机制研究. 计算机工程, vol. 29, no. 1, pp 14 - 19, 2003.

  Qin-Bao Song, Nai-Qian Li, Jun-Yi Shen, Li-Ming Chen. Web Documents Mining. International Conference on Machine Learning and Cybernetics, vol.2, pp 791-795, 2002.

  Qin-Bao Song, Xiang-Rong Yang, Jun-Yi Shen, Li-Ming Chen.  Integrating Color and Spatial Information for Content-Based Image Retrieval in Large Image Database. International Conference on Machine Learning and Cybernetics, vol.4, pp 2082-2086, 2002. 

  Qinbao Song, Liming CHEN, and Mohamed HAMMAMI. Using Data Mining Techniques to Do Web Based Adult Content Detection and Filtering. Journées Francophones D’Accès Intelligent aux Documents Multimédiassur l’Internet (MediaNet 2002). Sousse, Tunisie, 17-21 Juin 2002. France: HERMES Science Publications, 2002.

  Nai-Qian Li, Qin-Bao Song, Jun-Yi Shen. Mining Cross-Table Association Rules Based on Projections of Itemsets. International Conference on Machine Learning and Cybernetics, vol. 1, pp 170-174, 2002.

  Mohamed HAMMAMI, Liming CHEN, and Qinbao Song. Définition d’un modèle de peau et son utilisation pour la classification des images.  Journées Francophones D’Accès Intelligent aux Documents Multimédiassur l’Internet. Sousse, Tunisie, 17-21 Juin 2002. France: HERMES Science Publications, 2002.

  Ye Yuan, Qin-Bao Song, Jun-Yi Shen. Automatic Video Classification Using Decision Tree Method. International Conference on Machine Learning and Cybernetics, vol.3,  pp 1153-1157, 2002.

  宋擒豹, 杨向荣, 沈钧毅, 齐勇. 数字商品非法复制的检测算法. 计算机学报, vol.25, no.11, pp 1206-1211, 2002.

  宋擒豹, 沈钧毅. 基于关联规则的Web文档聚类算法. 软件学报, vol.13, no.3,    pp 417- 423, 2002.

  宋擒豹, 杨向荣, 沈钧毅, 王甲民. 图像相似模式挖掘中的颜色-位置直方图方法. 计算机研究与发展, vol. 39, no. 9, pp 1132 - 1137, 2002.

  宋擒豹, 杨向荣, 沈钧毅. 数据仓库技术研究. 计算机工程, vol.28, no.1, pp 125-131, 2002.

  王甲民, 宋擒豹, 沈钧毅, 李琳. 构造高性能的对象关系系统. 计算机工程, vol. 28, no.1, pp 103-108, 2002.

  邢东山, 宋擒豹, 沈钧毅. 一种新的Web事务模糊聚类算法的研究. 西安交通大学学报, vol.36, no.8, pp 822-825+838, 2002.

  杨向荣, 宋擒豹, 沈钧毅. 基于行为模式挖掘的网络入侵检测. 西安交通大学学报, vol.36, no.2, pp 173-176+189, 2002.

  李乃乾, 沈钧毅, 宋擒豹. 基于频繁模式树的普遍化关联规则挖掘. 小型微型计算机系统,vol.23, no.12, pp 1469 - 1475, 2002. 

  邢东山, 沈钧毅, 宋擒豹. 用户浏览偏爱模式挖掘算法的研究. 西安交通大学学报, vol.36, no.4, pp 369-372, 2002.

  杨向荣, 沈钧毅, 宋擒豹. 一种多级安全系统模型的隐通道流量分析. 西安交通大学学报, vol.36, no. 10, pp 1075 - 1079, 2002.

  Yang Xiangrong, Qinbao Song, and Shen Junyi. The Implementation of Sequence Pattern Mining in Network Intrusion Detection System. International Conferences on Info-tech and Info-net, vol.5, pp 19-23, 2001.

  Yang Xiangrong, Qinbao Song, and Shen Junyi. Behavior Patterns Mining Based Network Intrusion Detection. International conference for Yong Computer Scientists,   pp 121 -125, 2001.

  宋擒豹, 沈钧毅. 基于互近邻概念的Web文档聚类算法. 计算机研究与发展, vol.38, no.7, pp 30-34, 2001.

  宋擒豹, 沈钧毅, 齐勇. 基于距离的例外模式挖掘算法. 计算机研究与发展, vol.38, no.7, pp 25-29, 2001.

  宋擒豹, 沈钧毅. 数字商品非法复制和扩散的监测机制. 计算机研究与发展, vol.38, no.1, pp 121 - 126, 2001.

  宋擒豹, 沈钧毅. Web页面和客户群体的模糊聚类算法. 小型微型计算机系统, vol.22, no.2, pp 229 - 334, 2001.  

  宋擒豹, 杨向荣, 沈钧毅. 软件质量保障技术. 计算机工程与应用, vol. 37, no.15, pp 14-18, 2001.

  宋擒豹, 沈钧毅. 对象管理系统. 计算机工程与应用, vol.37, no. 1, pp 68 - 72, 2001.

  杨向荣, 宋擒豹, 沈钧毅. 基于数据挖掘的智能化入侵检测系统. 计算机工程, vol.27, no.9, pp 17-22, 2001.

  张晓滨, 宋擒豹, 沈钧毅. 一种基于语义特征的Web文档检索方法. 计算机工程与应用, vol37, no.20, pp 7 - 12 , 2001.

  杨向荣, 宋擒豹, 沈钧毅. 入侵检测技术研究与系统设计. 计算机工程与应用, vol.37, no.16, pp 1-4, 2001.

  Qinbao Song and Shen Junyi. Novel and Efficient Algorithms for Mining WWW Browsing Patterns. International Asia-Pacific Web Conference (APWeb 2000),  pp 121-126, 2000.

  宋擒豹, 沈钧毅. 神经网络数据挖掘方法中的数据准备问题. 计算机工程与应用, vol.36, no.12, pp 102-105, 2000.

  宋擒豹, 沈钧毅. 管理信息系统通用查询工具的设计与实现. 计算机工程与应用, vol.36, no.5, pp 98-101, 2000..

  宋擒豹, 沈钧毅. 一种例外模式挖掘算法. 计算机科学, vol.27, no.10, pp 75-77, 2000.

  宋擒豹, 沈钧毅. 数据仓库体系结构研究. 兰州大学学报, vol.35, no.8, pp 199-205, 1999.  
  
                                               
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