[1] 刘大有, 陈慧灵, 齐红, 等. 时空数据挖掘研究进展[J]. 计算机研究与发展, 2013, 50(2):225-239. LIU D Y, CHEN H L, QI H, et al. Advances in spatiotemporal data mining[J]. Journal of Computer Research and Development, 2013, 50(2):225-239. (in Chinese)
[2] 冯勤. 基于回归数据挖掘预测系统的分析与研究[D]. 天津:天津大学, 2005. FENG Q. The analysis and research of regress-based prediction system on data mining[D]. Tianjin:Tianjin University, 2005. (in Chinese)
[3] ZHOU G Q, WANG L B, WANG D, et al. Integration of GIS and data mining technology to enhance the pavement management decision making[J]. Journal of Transportation Engineering, 2010, 136(4):332-341.
[4] 杨铁建. 基于支持向量机的数据挖掘技术研究[D]. 西安:西安电子科技大学, 2005. YANG T J. Research of data mining techniques based on support vector machines[D]. Xi'an:Xi'an University, 2005. (in Chinese)
[5] 黄静华. 支持向量机算法研究及在气象数据挖掘中的应用[D]. 北京:中国矿业大学(北京), 2011. HUANG J H. The research of support vector machine algorithm and the application in meteorological data mining[D]. Beijing:China University of Mining and Technology (Beijing), 2011. (in Chinese)
[6] 蒋旻. 基于空间数据库的数据挖掘技术[J]. 武汉科技大学学报(自然科学版), 2002, 25(2):183-186. JIANG M. Spatial data mining based on spatial databases[J]. Journal of Wuhan University of Science and Technology (Natural Science Edition), 2002, 25(2):183-186. (in Chinese)
[7] 郭翠翠. 基于神经网络的数据挖掘方法研究[D]. 武汉:武汉理工大学, 2007. GUO C C. Research on data mining technique using artificial neural networks[D]. Wuhan:Wuhan University of Technology, 2007. (in Chinese)
[8] TAVANA M, ABTAHI A R, DI CAPRIO D, et al. An artificial neural network and Bayesian network model for liquidity risk assessment in banking[J]. Neurocomputing, 2018, 275:2525-2554.
[9] 张长鲁. 基于数据挖掘的煤矿安全可视化管理研究[D]. 北京:中国矿业大学(北京), 2015. ZHANG C L. Visual management of safety in coal mines based on data mining[D]. Beijing:China University of Mining and Technology (Beijing), 2015. (in Chinese)
[10] 柴文光, 周宁. 网络信息安全防范与Web数据挖掘技术的整合研究[J]. 情报理论与实践, 2009, 32(3):97-101. CHAI W G, ZHOU N. Self-adaptive personalized web page recommendation based on semantics[J]. Information Studies:Theory & Application, 2009, 32(3):97-101. (in Chinese)
[11] 刘清毅. 计算机网络安全病毒防御中的数据挖掘技术应用[J]. 微型电脑应用, 2018, 34(4):73-75. LIU Q Y. Application of data mining technology in virus defense and computer network security[J]. Microcomputer Applications, 2018, 34(4):73-75. (in Chinese)
[12] 林国顺, 陈燕, 贾智辉, 等. 基于数据挖掘的道路运行安全因素关联分析[J]. 大连海事大学学报, 2011, 37(3):62-65. LIN G S, CHEN Y, JIA Z H, et al. Association analysis of the road running safety factors based on data mining technology[J]. Journal of Dalian Maritime University, 2011, 37(3):62-65. (in Chinese)
[13] 张晓辉. 云理论和数据挖掘在水上安全分析中的应用[D]. 大连:大连海事大学, 2011. ZHANG X H. Applications of cloud theory and data mining in marine safety analysis[D]. Dalian:Dalian Maritime University, 2011. (in Chinese)
[14] GUO J X, DING H. Application of data mining on water supply management[C]//Proceedings of International Joint Conference on Artificial Intelligence. Hainan Island, China:IEEE, 2009:606-608.
[15] 傅韬, 史赟. 数据挖掘技术在水利信息化中的应用[J]. 江西水利科技, 2009, 35(1):74-75. FU T, SHI Y. Application of the data mining technology in informationizing water conservancy[J]. Jiangxi Hydraulic Science & Technology, 2009, 35(1):74-75. (in Chinese)
[16] 陈谦亮, 王义民. 基于数据挖掘的水库智能决策支持系统研究[J]. 水资源与水工程学报, 2009, 20(3):75-78, 82. CHEN Q L, WANG Y M. Intelligent decision-making supporting system of reservoir based on data mining techniques[J]. Journal of Water Resources and Water Engineering, 2009, 20(3):75-78, 82. (in Chinese)
[17] 李智录, 李波. 基于PLSR的静态灰色模型在大坝安全监控中的应用[J]. 大坝与安全, 2006(6):48-51. LI Z L, LI B. Application of static gray model based on PLSR into dam safety monitoring[J]. Dam & Safety, 2006(6):48-51.
[18] LI X C, ZHONG D H, REN B Y, et al. Prediction of curtain grouting efficiency based on ANFIS[J]. Bulletin of Engineering Geology and the Environment, 2019, 78(1):281-309.
[19] ZHONG D H, DU R X, CUI B, et al. Real-time spreading thickness monitoring of high-core rockfill dam based on K-nearest neighbor algorithm[J]. Transactions of Tianjin University, 2018, 24(3):282-289.
[20] 常成. 基于PDMiner大数据挖掘平台的电力系统安全评估及故障诊断系统[J]. 电力与能源, 2016, 37(1):7-11. CHANG C. Power system security assessment and fault diagnosis system based on PDMiner large data mining platform[J]. Power & Energy, 2016, 37(1):7-11. (in Chinese)
[21] SZEGEDY C, LIU W, JIA Y Q, et al. Going deeper with convolutions[C]//Proceedings of the IEEE Conference on computer Vision and Pattern Recognition. Boston, USA:IEEE, 2015:1-9.
[22] SUN Y, WANG X G, TANG X O. Deeply learned face representations are sparse, selective, and robust[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA:IEEE, 2015:2892-2900.
[23] 张晴晴, 刘勇, 潘接林, 等. 基于卷积神经网络的连续语音识别[J]. 工程科学学报, 2015, 37(9):1212-1217. ZHANG Q Q, LIU Y, PAN J L, et al. Continuous speech recognition by convolutional neural networks[J]. Chinese Journal of Engineering, 2015, 37(9):1212-1217. (in Chinese)
[24] 林鹏, 王英龙, 汪志林, 等. 基于微信的大型水电工程安全隐患排查治理系统研发与应用[J]. 中国安全生产科学技术, 2017, 13(7):137-143. LIN P, WANG Y L, WANG Z L, et al. Development and application of potential safety hazard investigation and control system for large hydropower engineering based on WeChat[J]. Journal of Safety Science and Technology, 2017, 13(7):137-143. (in Chinese)
