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智能数据挖掘与分析

研究方向介绍:

 本研究方向主要致力于文本数据,网络数据分析与处理的基本方法与应用研究,研究领域包括数据挖掘、自然语言处理,社交网络分析,研究对象包括经济数据、文本数据、专利数据、石油地质数据等各类数据,研究方法包括机器学习、深度学习等相关理论方法。

研究团队介绍:

科研项目:

1.标准知识链接数据的规范化和关联呈现(XDHT2014492A,负责人,2014.11-2016.11,中国标准化研究院)

2. 基于移动云服务的教育游戏平台(3502Z2014116,负责人,厦门市科技计划初创期企业技术创新项目,2014.6-2016.6)

3. 科技战略与政策分析的证据链语料体系系统开发(XDHT2013426A,负责人,中国科学院文献情报中心,2012.12-2013.12)

4. 网络前沿技术发展趋势及其应用研究(XDHT2013404A,负责人,厦门乐顽信息技术有限公司,2013.10-2018.9)

5. 数据驱动的地震储层预测技术及其软件系统开发(XDHT2014149A,负责人,中国石油集团科学技术研究院,2014.5-2016.4)

6. 面向移动终端的动漫素材处理及评估的若干关键技术研究(2013121030,负责人,基本科研业务费,2013.7-2015.6)

7. 面向检索的网络用户行为可靠性度量研究(13CTQ011,负责人,国家社科青年项目,2013.6-2016.6)

8. 基于STKOS的科技监测应用示范开发(XDHT2013009A,负责人,北京九瑞网络科技有限公司,2012.10-2013.08)

9. 基于LDA和HMM的文本主题演化模型及其应用研究 (2011J01360,负责人,福建省自然科学基金面上项目,2011.4-2014.3)

10. 基于知识组织体系的可视化智能检索模型研究(11YJC870027,负责人,教育部一般项目,2011.4-2014.3)

11. 标准知识链接服务系统研究与开发(XDHT2010273A,负责人,中国标准化研究院,2011.6-2012.8)

12. 基于关联规则的TNM-G诊断模型研究(0680X12103,负责人,厦门大学启动项目,2009.01-2011.06)

13. 关键领域国内外标准数据分析项目(XDHT2010256A,负责人,中国标准化研究院,2010.09-2011.09)

14. 上海证劵交易所联合研究项目(XDHT2011074A,负责人,上海证卷交易所,2011.03-2011.11)

15. 医学新主题监测软件开发(XDHT2011147A,负责人,中国医学科学院医学信息研究所,2011.04-2011.11)

16. 闪速炼铜企业能效监测评估及优化控制系统的开发与应用(XDHT2014261A,排名第二,铜陵有色金属集团股份有限公司金冠铜业分公司

17. 自动报告数据生成系统开发(XDHT2014553A,排名第二,北京数海时代分析技术有限公司,2014.8-2015.6)

18. 基于集成特征选择的基因微阵列数据分析方法研究 (2010J05137,排名第二,福建省自然科学基金青年项目,2009.11-2012.11)

19. 从“中国科技论文在线”到高校IR联盟之服务创新模式研究(2008104,排名第三,教育部科技发展中心,2008.12-2010.06)

20. 我国文献信息标准体系框架研究(11CTQ011,排名第四,国家社科基金青年项目,2011.06-2014.06)

发表论文:

1.Wu, Q.Q(吴清强,通讯作者). Zhang, H.B. & Lan, J. (2015) K-State Automaton Burst Detection Model Based on KOS: Emerging Trends in Cancer Field, Journal of Information Science, (Vol. 41(1), 16–26).

2. Wu, Q. (吴清强), Zhang, C., Hong, Q., & Chen, L. (2014). Topic evolution based on LDA and HMM and its application in stem cell research. Journal of Information Science, 40(5), 611-620.

3. Hong, Q., Chen, L., Wang, B., & Wu, Q. (吴清强,通讯作者)(2014). The extraction of vascular axis based on signed distance function. In Fifth International Conference on Graphic and Image Processing (pp. 90690-90695): International Society for Optics and Photonics.

4. Hong, Q., Wang, B., Li, Q., Li, Y., & Wu, Q. (吴清强,通讯作者) (2014). GPU Accelerating Technique for Rendering Implicitly Represented Vasculatures. Bio-medical materials and engineering, 24(1), 1351-1357.

5. Wu, Q. (吴清强), Zhang, C., & An, X. (2012). Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field. Journal of Information Science, 39(3), 1-14.

6. An, X. Y., & Wu, Q. Q. (吴清强,通讯作者) (2011). Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics, 88(1), 133-144.

7. QingQiang(吴清强), W., Hua, L., & KunHong, L. (2011). Mixed-sampling approach to unbalanced data distributions: a case study involving leukemia’s document profiling. WSEAS Transactions on Information Science and Applications, 8(9), 356-379.

8. Liu, K.-H., Li, B., Wu, Q.-Q. (吴清强), Zhang, J., Du, J.-X., & Liu, G.-Y. (2009). Microarray data classification based on ensemble independent component selection. Computers in biology and medicine, 39(11), 953-960.

9. Chen, L., Fu, H., Wu, Q. (吴清强), & Qi, G. (2013). J2EE-based authentication system of expansive training for the university student. In Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on (pp. 389-391): IEEE.

10. Li, N., Yu, X., Wu, Q. (吴清强), & Wu, M. (2012). Oil exploration data mining image processing. In Computer Science & Education (ICCSE), 2012 7th International Conference on (pp. 1115-1120): IEEE.

11. Liyan, C., Qingqiang, W. (吴清强,通讯作者), Guanhong, Q., & Baorong, Y. (2012). Digital Reconstruction of Ancient Architecture of Ming and Qing Dynasties Based on MAYA. In Proceedings of the 2012 3rd International Conference on E-Business and E-Government-Volume 04 (pp. 390-393): IEEE Computer Society.

12. Maowen, W., Dong, Z. C., Weiyao, L., & Qiang, W. Q. (吴清强,通讯作者) (2012). Text topic mining based on LDA and co-occurrence theory. In Computer Science & Education (ICCSE), 2012 7th International Conference on (pp. 525-528): IEEE.

13. Liu, K.-H., Wu, Q.-Q. (吴清强,通讯作者), & Wang, M.-H. (2011). The design of evolutionary multiple classifier system for the classification of microarray data. In Advances in Neural Networks–ISNN 2011 (pp. 513-522): Springer.

14. Wu, Q. (吴清强), Zhang, C., Deng, X., & Jiang, C. (2011). LDA-based model for topic evolution mining on text. In Computer Science & Education (ICCSE), 2011 6th International Conference on (pp. 946-949): IEEE.

15. Qingqiang, W. (吴清强), & Maowen, W. (2009). Strategic intelligence model based on SOA and BPC. In Computer Science & Education, 2009. ICCSE'09. 4th International Conference on (pp. 1255-1258): IEEE.

16.Biao Zhang, Jinsong Su(苏劲松)*,Deyi Xiong, Hong Duan, Junfeng Yao. Discriminative Reordering Model Adaptation via Structural Learning. To appear in Proceedings of IJCAI 2015. (CCF A类)

17.Jinsong Su(苏劲松), Deyixiong*, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. A Context-Aware Topic Model for Statistical Machine Translation. To appear in Proceedings of ACL 2015. (CCF B类)

18.Jinsong Su(苏劲松), Zhihao Wang, Qingqiang Wu, Junfeng Yao, Fei Long, Haiying Zhang*: A Topic-Triggered Translation Model for Statistical Machine Translation. Chinese Journal of Electronics. Accepted. (SCI待检)

19.Yanzhou Huang, Xiaodong Shi, Jinsong Su(苏劲松), Yidong Chen, Guimin Huang: Unsupervised word sense induction using rival penalized competitive learning. Eng. Appl. of AI 41: 166-174 (2015).(SCI检索,JCR3区)

20.苏劲松,董槐林,陈毅东,史晓东,吴清强*. 引入基于主题复述知识的统计机器翻译模型,浙江大学学报,(2014), Vol 48, NO 10, pp 1843-1849.(EI检索)

21.Jingsong Su(苏劲松)*, Yang Liu, Qun Liu, and Huailin Dong,Graph-based Lexicalized Reordering Models for Statistical Machine Translation, China Communications, 11(5):71-82 (2014). (SCI检索)

22.Kaixu Zhang*, Jinsong Su(苏劲松), Changle Zhou. 2014. Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing. In Proceedings of EACL 2014. pp 164-173, (EI检索)

23.Jinsong Su(苏劲松)*, Xiaodong Shi, Yan-zhou Huang, Yang Liu, Qing-qiang Wu, Yidong Chen, Huailin Dong: Topic-aware Pivot Language Approach for Statistical Machine Translation. Journal of Zhejiang University - Science C 15(4): 241-253 (2014). (SCI检索)

24.何钟豪*, 苏劲松, 史晓东, 陈毅东, 黄研洲. 引入集成学习的最大熵短语调序模型,中文信息学报, 2014年。

25.Heng Yu, Jinsong Su(苏劲松), Yajuan lv, Qun Liu. 2013. A Topic-Triggered Language Model for Statistical Machine Translation. In Proceedings of IJCNLP 2013.

26.Jinsong Su(苏劲松)*, Hua Wu, Haifeng Wang, Yidong Chen, Xiaodong Shi, Huailin Dong and Qun Liu. 2012. Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information. In Proceedings of ACL 2012. (CCF B类)

27.苏劲松*,刘群,吕雅娟. 一种考虑对齐不一致的短语翻译概率估计方法,中文信息学报,2011年。

28.Jinsong Su(苏劲松)*, Yang Liu, Yajuan Lv, Haitao Mi and Qun Liu. 2010. Learning Lexicalized Reordering Models from Reordering Graphs. In Proceedings of ACL 2010. (CCF B类)

29.Jinsong Su(苏劲松)*, Yang Liu, Haitao Mi, Hongmei Zhao, Yajuan lv and Qun Liu. 2010.

30.Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation. In Proceedings of COLING 2010. (CCF B类)

厦门大学 厦门大学软件学院 厦门大学智能与科学系 厦门大学信息科学学院 厦门大学模式分析与机器智能研究中心