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个人简介

教育背景 2003/09 - 2006/06 中山大学 专业:计算机科学 博士 2000/09 - 2003/12 中山大学 专业:计算机科学 硕士 1994/09 - 1998/07 中山大学 专业:计算机软件 理学士 工作经历 06年暨大任教至今

研究领域

数据库,数据仓库,数据挖掘,自然语言处理

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] 大数据环境下高维数据的快速重复检测方法.计算机研究与发展,2016.3(EI期刊 ) [2] 基于低秩和稀疏矩阵分解的多源融合链接预测算法.计算机研究与发展,2015.2(EI期刊 ) [3] Mining evolving association rules for E-business recommendation.Journal of Shanghai Jiaotong University(Science).2012.2(EI期刊) [4] Data Extraction and Cleaning From Semi-Structured Chinese Texts.BMEI11.2011 (EI收录) [5] A network storage model with security and information retrieval support. The 2009 International Conference on Innovative Computing, Information and Control, 2009.(EI收录) [6] Privacy Preservation in E-government, The International Conference on E-Business and E-Government (ICEE2010), 2010. (EI收录) [7] 开放平台解决方案及其安全策略研究. 计算机工程 2012.6 (CSCD核心库) [8] A light-weight solution to personalized recommendation for small E-shops on large E-business platform. ICEE12 [9] The used of collective intelligence in librarial recommendation. ICIS11 [10] 一种支持信息检索的安全网络文件存储模型. 2009全国理论计算机科学学术年会论文集,计算机工程与科学, 2009,31(10):27-30.(CSCD扩展库) [11] A center-of-gravity-based distance pruning improvement for the probabilistic k-nearest-neighbours algorithm over uncertain data(EI收录) [12] Extracting and Cleaning Data from Semi-structure Chinese texts. ICEE11. 2011(EI收录) [13] Outlier Detection for Learning-Based Optimizing Compiler. Proc. of The 5th International Conference on Frontier of Computer Science and Technology (FCST2010),2010.(EI收录) [14] A Solution to The Can Or Cannot Problem of Learning Based Compilation. Proc. of The 2010 Sixth International Conference on Natural Computation (ICNC'10),2010.(EI收录) [15] Computer aided diagnosis for traditional Chinese medical science based on information retrieval techniques. Proc. of The 2009 International Conference on Innovative Computing, Information and Control (ICICIC2009),2009.(EI收录) [16] On optimal feature selection using harmony search for image steganalysis. ICNC12,2009.(EI收录) [17] Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors.FSKD11,2011.(EI收录) [18] An empirical study on knee arthritis remedies, BIBMW 2012(EI收录)

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