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2017年11月19日 星期日  
 
 
董祥军

 
  

 

姓 名
 董祥军
性 别
 男
出生年月
 1968.5
学 历
 博士研究生
毕业时间
 2005.3
专 业
 计算机应用技术
电 话
 89631336
邮 编
 250353
E-Mail
 dxj@sdili.edu.cn
单 位
 山东轻工业学院信息学院
通信地址
 济南市长清大学园区大学路
个人简历:

1990年毕业于山东轻工业学院电气技术专业,获学士学位;1999年获山东工业大学计算机应用技术专业硕士学位,2005年获北京理工大学计算机应用技术专业博士学位。2007.5-2009.6在北京理工大学管理与经济学院做博士后研究,2009.8-2010.2 在悉尼科技大学(UTS)访问。现任信息科学与技术学院副院长、教授、硕士研究生导师。

主持山东省自然科学基金“多数据库间的负关联规则挖掘技术研究”(Y2007G25)1项,山东省中青年科学家奖励基金项目“负关联规则关键技术的研究”(2006BS010171项,中国博士后科学基金项目面上项目“非频繁项集挖掘及冗余规则修剪技术”(200704203021项,山东省教育厅科技计划项目“大坝信息智能决策系统”(J06N061项,山东省研究生教育创新计划1项获得山东省教育厅“山东高校优秀中青年教师国外合作项目”1项,主持多项企业合作课题的研究,项目经费达400万元。发表论文70多篇,其中SCIEIISTP收录30多篇。

曾任澳大利亚人工智能会议AI-08AI-09程序委员会委员,国际高级数据挖掘会议ADMA'09ADMA08ADMA07程序委员会委员,Technical committee  of  PAKDD2009 PAKDD07Workshop-DMBiz07程序委员会委员; 国际著名刊物IEEE Transactions on Knowledge Discovery and Engineering审稿人。 

研究方向:

数据挖掘技术;信息集成技术;数据库及数据仓库技术;

奖励和荣誉:

 

发表文章:发表论文70多篇,其中SCI、EI、ISTP收录30多篇,代表性论文如下:

1)        Xiangjun Dong, Fengrong SunXiqing Han and Ruilian Hou. Study of Positive and Negative Association Rules based on Multi-confidence and Chi-squared testADMA06Springer Lecture Notes in Computer Science 4093Springer-Verlag Berlin Heidelberg 2006 (SCIEIISTP)
2)        Xiangjun Dong, Zhiyun Zheng, Zhendong Niu, Qiuting Jia. Mining Infrequent Itemsets based on Multiple Level Minimum Supports, The Second International Conference on Innovative Computing, Information and Control (ICICIC2007), September 5 - 7, 2007, Japan, (EI)
3)        Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu. Mining both Positive and Negative Association Rules from Frequent and Infrequent Itemsets. IN precceedings of ADMA07, Harbin, China, 2007, LNAI 4632, Springer-Verlag Berlin Heidelberg 2007 (EI)
4)        Xiangjun Dong, Gang Li, Hongguo Wang, Yuebin Guo, and Yueyue Yang. Mining Infrequent Itemsets based on Extended MMS Model. Third International Conference on Intelligent Computing, ICIC07, CCIS 2, pp. 190–198, 2007. Springer-Verlag Berlin Heidelberg 2007 (ISTP)
5)        Xiangjun Dong, Zhendong Niu, Donghua Zhu,Zhiyun Zheng, and Qiuting Jia. Mining Interesting Infrequent and frequent Itemsets based on MLMS Model.ADMA2008,Chengdu,China (EI)
6)       
董祥军,王淑静,宋瀚涛, 陆玉昌. 负关联规则的研究.北京理工大学学报,2004.11 978-981 EI

7)       
董祥军,王淑静,宋瀚涛.基于两级支持度的正负关联规则挖掘.计算机工程,2005.31(10) 16-18EI
8)       
董祥军,宋瀚涛,姜合,陆玉昌. 时态关联规则的研究.计算机工程2005.31(15)EI
9)       
董祥军,宋瀚涛,姜合,陆玉昌. 基于最小兴趣度的正负关联规则挖掘. 计算机工程与应用,2004.927):24-25 (核心)
10)   
董祥军, 崔林,陈建斌,宋瀚涛,陆玉昌. 正负关联规则间的置信度关系研究.计算机应用研究,2005.7  34-35(核心
)
11)   
董祥军,陈建斌,宋丽哲,宋瀚涛,陆玉昌. 基于定制时间约束的正负时态关联规则挖掘. 计算机工程与应用,2004.1028):40-43(核心
)
12)    Shiju Shang, Xiangjun Dong and Jie Li. Mining Positive and Negative Association Rules in Multi-database Based on Minimum Interestingness. ICCSIT 2008, August 29 - September 2, 2008,  Singapore. (EI
)
13)    Shiju Shang ,  Xiangjun Dong,  Runian Geng, Long Zhao. Mining Negative Association Rules in Multi-database. Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2008),Jinan, China,Oct.2008(EI
)
14)    Long Zhao,Xiangjun Dong, Shiju Shang. The present situation and development tendency of Classification Based on negative association rules. In: W. Xu, D. Liu, eds.Proc. of the 7th International Symposium on Distributed Computing and Applications for Business Engineering and Science(DCABES’08). Beijing: Publishing House of Electronics Industry,2008.(ISTP
)
15)    Sun, Feng-Rong, Liu, Ze; Dong, Xiang-Jun,at.al.Surface reconstruction of the coronary arterial walls from intravascular ultrasound images. Journal of Electronic Imaging, v 16, n 4, 2007, p 043016 (SCI, IF=0.7)
16)    Youbo Wang, Xiangjun Dong, Zhiguang Tian. FPGA Based Design of Elliptic Curve Cryptography Coprocessor. In Proceedings of the 3nd International Conference on Natural Computation (ICNC 2007) Vol IV, Haikou, China, 2007.9, IEEE Press (EI
)
17)    Jianbin Chen, Xiangjun Dong, Hantao Song. The Refinement Algorithm Consideration in Text Clustering Scheme Based on Multilevel Graph. Wuhan University Journal of Natural Sciences, 2004.9 (EI)
18)    Runian Geng, Wenbo Xu, and Xiangjun Dong: Efficient mining of interesting weighted patterns from directed graph traversals [J]. Journal of Integrated Computer-Aided Engineering, 2008.15(4)
SCI

19)   
耿汝年,董祥军,须文波:基于全局图遍历的加权频繁模式挖掘算法.计算机集成制造系统,2008,14(6) 1220—1229,1235 EI
20)    Xuelin Shi, Ying Zhao, Xiangjun Dong. Web Page Categorization Based on K-nn and Svm Hybrid Pattern Recognition Algorithm. WCCI2008 (EI,Accepted)
21)    He Jiang,Yuanyuan Zhao,Xiangjun Dong. Mining Positive and Negative Weighted Association Rules from Frequent Itemsets Based on Interest. ISCID2008 Wuhan China.(EI,Accepted)
22)    He Jiang,Yuanyuan Zhao,Xiangjun Dong,Shiju Shang. Mining Positive and Negative Association Rules with Weighted Items. DCABES2008 Dalian China.(ISTP)
23)    Yuanyuan Zhao,He Jiang, Baoyou Sun,Xiangjun Dong.Improved Apriori Algorithm Based on Weighted Mining Association Rules. DCABES2008 Dalian China. (ISTP)
24)    Runian Geng, Xiangjun Dong, Jing Zhao, and Wenbo Xu: WHFPMiner: efficient mining of weighted highly-correlated frequent patterns based on weighted FP-tree approach[C].In: Proc. of the 5th International Symposium on Neural Networks (ISNN’08). LNCS, Heidelberg:Springer Verlag, 2008
EI 
25)    Runian Geng, Xiangjun Dong, He Jiang, and Wenbo Xu: WTSPMiner: efficiently mining weighted sequential patterns from directed graph traversals[C].In: Proc. of the 4th International Conference on Intelligent Computing (ICIC'08). LNCS, Heidelberg:Springer Verlag, 2008, Volume 5226, pp.398-405.
EI 
26)    Runian Geng, Xiangjun Dong, Ping Zhang, and Wenbo Xu: WTMaxMiner: Efficient Mining of Maximal Frequent Patterns Based on Weighted Directed Graph Traversals[C].In: Proc. of the 3rd IEEE International Conference on Cybernetics and Intelligent Systems (CIS’08). Washington: IEEE Computer Society, Sep. 2008
EI 
27)    Runian Geng, Xiangjun Dong, Guoling Liu, and Wenbo Xu: Efficiently mining maximal frequent patterns from traversals on weighted directed graph using statistical theory[C].In: Proc. of the 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08). Washington: IEEE Computer Society, Aug. 2008
EI 
28)    Runian Geng, Xiangjun Dong, Jing Zhao, and Wenbo Xu: SWFTPMiner: mining weighted frequent patterns from graph traversals with noisy information[C].In: Proc. of the 4th IEEE International Conference on Wireless Communications, Networking and Mobile computing (Wicom’08). Washington: IEEE Computer Society, Oct. 2008
EI 
29)   
尚世菊 , 董祥军. 多数据库中的负关联规则挖掘现状及发展趋势.计算机工程,2009.8(录用,通讯作者)
30)    Runian Geng, Xiangjun Dong, Xingye Zhang, and Wenbo Xu: Efficiently mining closed frequent patterns with weight constraint from directed graph traversals using weighted FP-tree approach[C].In: Proc. of ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM’08). Washington: IEEE Computer Society, 2008, Volume 3, pp.404-407.
EI

 

目前承担和参与项目:
主持过多项纵向课题、企业合作课题的研究。目前承担的主要项目有:

1. 山东省博士基金项目,负关联规则关键技术的研究2006BS010172007.1-2009.6,项目负责人;

2. 山东省自然科学基金项目,多数据库间的负关联规则挖掘技术研究”(Y2007G25),2008.1-2010.12,项目负责人;

3. 山东省教育厅科研计划项目,“大坝信息集成及智能决策系统(J06N06)”,2006.9-2008.12,项目负责人;

 

社会兼职:

澳大利亚人工智能会议AI-08程序委员会委员;

国际高级数据挖掘会议ADMA08ADMA07程序委员会员;

PAKDD07Workshop-DMBiz07程序委员会委员;

ADMA06, ADMA07 Session Chair

国际著名刊物IEEE Transanction Knowledge Discovery and Engneering(TKDE)审稿人

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