ShowMenu
2017年11月22日 星期三  
 
 
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。

主持了和参与了包括国家自然科学基金项目、山东省自然科学基金项目在内的10多项纵向课题和若干项横向课题的研究,项目经费达400万元,发表学术论文70多篇,其中SCIEIISTP收录近40篇。获得山东省教育厅优秀科研成果奖三等奖2项,指导硕士研究生12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:

 

主要论文:

1.         Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao and etc. e-NSP: Efficient Negative Sequential Pattern Mining Based on Identified Positive Patterns Without Database Rescanning. Proceedings of 19th (Association of Computing Machinery Conference on Information and Knowledge Management) ACM CIKM’11, October 24–28, 2011, Glasgow, pp.825-830

2.         Xiangjun Dong, Fengrong Sun, Xiqing 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 (SCI)

3.         Dong, Xiangjun. Mining interesting infrequent and frequent itemsets based on minimum correlation strength. 3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, 2011/9/24-2011/9/25, pp 437-443, Taiyuan,, 2011 (EI).

4.         Dong, Xiangjun, Ma, Liang, Han, Xiqing. E-NFIS: Efficient negative frequent itemsets mining only based on positive ones. 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, 2011/5/27-2011/5/29, pp 517-519, Xi'an, 2011 (EI ).

5.         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)

6.         Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu. Mining both Positive and Negative Association Rules from Frequent and Infrequent Itemsets. IN proceedings of ADMA07, Harbin, China, 2007, LNAI 4632, Springer-Verlag Berlin Heidelberg 2007 (EI)

7.         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)

8.         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)

9.         Xiangjun Dong, Shiju Shang, Jie Li, He Jiang. Application of Negative Association Rules in Multi-database 2008' International Symposium on Information Science and Engineering (ISISE'2008) ,20 - 22 December 2008 Shanghai, China

10.     Xiangjun Dong, Shiju Shang, Jie Li, He Jiang. Mining Global Exceptional Rules in Multi-database, 2009 International Forum on Information Technology and Applications, IFITA 200915-17 May2009ChengduChina

11.     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)

12.     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)

13.     Sun, Feng-Rong, Liu, Ze; Dong, Xiang-Jun. 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)

14.     Youbo Wang, Xiangjun Dong, Zhiguang Tian. FPGA Based Design of Elliptic Curve Cryptography Coprocessor. In Proceedings of the 3rd International Conference on Natural Computation (ICNC 2007) Vol IV, Haikou, China, 2007.9, IEEE Press (EI)

15.     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)

16.     Zhengyu Wu, Xiangjun Dong, Hantao Song. Ant-based Energy Aware Disjoint Multipath Routing Algorithm in MANETs. The First International Symposium on Pervasive Computing and applications (SPCA06) 2006, China IEEE Press  (EI)

17.     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

18.     GENG Ru-nian, DONG Xiang-jun, XU Wen-bo.  Weighted frequent patterns mining algorithm based on global graph traversals. Computer Integrated Manufacturing Systems, vol 6,2008. p1220—1229 Language: Chinese

19.     Xuelin Shi, Ying Zhao, Xiangjun Dong. Web Page Categorization Based on K-nn and Svm Hybrid Pattern Recognition Algorithm. WCCI2008 (EI)

20.     Jiang, He, Luan, Xiumei, Dong, Xiangjun. Mining weighted negative association rules from infrequent itemsets based on multiple supports. 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, 2012/8/23-2012/8/25, pp 89-92, Xi'an,,2012 (EI ) .

21.     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 

22.     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 

23.     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. 2008EI 

24.     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. 2008EI 

 

目前承担和参与项目:

1.      国家自然基金面上项目“负序列模式挖掘关键技术及其在医保欺诈检测中的应用研究”(项目编号:71271125,2013.1-2016.12)

2.      山东省自然科学基金项目“负序列模式关键技术的研究”(项目编号:ZR2011FM028,2011.7-2014.7);

3.      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”(项目编号:Y2007G25,已结题);

4.      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”(项目编号:2006BS01017,已鉴定结题,国际先进水平);

5.      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”(项目编号:20070420302,已结题);

6.      山东省研究生教育创新计划项目“IT研究生RAI培养模式的研究”(项目编号SDYY09037,在研);

7.      山东省教育厅科技计划项目“水库大坝信息集成与智能决策系统”(项目编号:J06N06, 已鉴定结题,国际先进水平)

8.      山东省教育厅“山东高校优秀中青年教师国外合作项目”;

9.      企业合作项目“污水处理厂自动化控制系统(290万元)”、“西苇水库大坝信息集成与智能决策系统(41万元)”,“峡山/白浪河水库大坝渗流信息集成与智能决策系统”(14.7万元/12.2万元)等企业合作项目。

10.  山东省高等学校科技计划项目“基于重复序列的负序列模式挖掘关键技术的研究” (第2位,项目编号J12LN10,在研) 

11.  山东省自然科学基金项目“加权负序列模式挖掘技术的研究” (5位,项目编号ZR2012FM032  ,在研)

12.  山东省自然科学基金项目 “加权负关联规则挖掘技术的研究”(2位,项目编号Y2008G26,已结题)

13.  济南市青年科技明星计划项目“Web用户正负加权频繁遍历访问模式挖掘关键技术研究”(第2位,项目编号JN20090202,在研);

 

社会兼职:
山东省计算机学会理事。程序委员会委员,包括PRICAI2012PAKDD2011PAKDD2009AI2008AI2009AI2010AI2011 AI2012ADMA'09ADMA08ADMA07ADMA08ADMA07Session ChairPAKDD07Workshop-DMBiz07;国际著名刊物 IEEE Transactions on Knowledge Discovery and Engineering》、《Knowledge based Systems》审稿人。

打印】【关闭