姓名:张茜茜
所在学科:大数据管理与应用
职称:讲师
办公地址:南实217
E-mail:zhangqianqian@bwu.edu.cn
个人信息:
博士研究生学历,讲师,毕业于北京交通大学管理科学与工程专业。发表学术论文8篇,主持与参与国家、省部级课题7项。
研究领域:
大数据分析,文本挖掘,企业技术创新
代表性论文:
(1) Zhang Q. A Big Data-Driven Approach to Analyze the Influencing Factors of Enterprise’s Technological Innovation, Computational Intelligence and Neuroscience, 2022(2022) (SCI)
(2) Zhang Q, Liu S, Tu Q. Knowledge organization of node enterprises’ technological innovation under supply chain environment, Complex & Intelligent systems, 2021: 1-15 (SCI)
(3) Zhang Q, Liu S, Gong D, et al. A Latent-Dirichlet-Allocation Based Extension for Domain Ontology of Enterprise's Technological Innovation[J]. International Journal of Computers, Communications & Control, 2019, 14(1). (SCI)
(4) Zhang Q, Liu S, Tu Q. A 2-tuple Fuzzy Linguistic Model for Criteria Evaluation on Technological Innovation of Marine Enterprises[J]. Journal of Coastal Research, 2019, 94(SI): 634-639. (SCI)
(5) Zhang Q, Liu S. Urban traffic flow prediction model based on BP artificial neural network in Beijing area[J]. Journal of Discrete Mathematical Sciences and Cryptography, 2018, 21(4): 849-858. (EI)
(6) Zhang Q, Liu H, Liu S, et al. Dynamic online consumer trust forming mechanism research based on Beijing, China[C]//2016 International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2016: 1-9. (EI会议)
(7) Tu Q, Zhang Q. Evaluation of Seawater Quality in Hangzhou Bay based on TS Fuzzy Neural Network[J]. Journal of Coastal Research, 2019, 94(SI): 50-54. (SCI)
(8) Feng Z, Zhang Z, Zhang Q, et al. Evaluation of Soil Suitability for Cultivation based on Back-propagation Artificial Neural Network the Case of Jiangxia District [J]. Environmental Engineering & Management Journal (EEMJ), 2018, 17(1). (SCI)
科研项目
(1) 横向课题,湖南省文物保护利用中心,《珍贵文物数字化保护规划设计方案》设计编制服务,主持,2022
(2) 人文科学和社会科学, 基于大数据的轨道交通客流异常模式识别技术及应用,参与,2021
(3) 国家自然科学基金委员会, 国家自然科学基金项目申请人、负责人信用评价管理研究, 参与,2019
(4) 纵向项目,中华人民共和国工业和信息化部, 产融合作背景下基于大数据技术的企业融资能力评价研究,参与,2018
(5) 北京社科基金,基于文本和仿真分析的北京市公共充电桩布局优化研究,参与,2018
(6) 横向课题,北京市经济和信息化局,产业创新中心及企业技术中心创建促进及评估,参与,2017
(7) 横向课题,北京市经济和信息化局,北京市企业技术中心发展研究,参与,2016