[1] DASGUPTA D,YU Senhua,NINOB F.Recent advances in artificial immune systems:models and applications[J].Applied Soft Computing 2011,11(2):1574-1587.
[2] GREENSMITH J,AICKELIN U,CAYZER S.Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection[C]//Proceedings of International Conference on Artificial Immune Systems.Berlin,Germany:Springer,2005:153-167.
[3] MOHSIN M F M,HAMDAN A R,BAKAR A A.An evaluation of feature selection technique for dendrite cell algorithm[C]//Proceedings of 2014 International Conference on IT Convergence and Security.Washington D.C.,USA:IEEE Press,2014:1-5.
[4] 甘颖,梁意文,谭成予,等.基于危险理论的地震预测方法[J].计算机工程,2019,45(1):278-283.
[5] GREENSMITH J.Securing the internet of things with responsive artificial immune systems[C]//Proceedings of 2015 Annual Conference on Genetic and Evolutionary Computation.New York,USA:ACM Press,2015:113-120.
[6] 杨超.计算及免疫危险理论的数字微分方法[D].武汉:武汉大学,2012.
[7] GU FENG,GREENSMITH J,OATES R,et al.PCA 4 DCA:the application of principal component analysis to the dendritic cell algorithm[EB/OL].[2018-07-01].https://arxiv.org/ftp/arxiv/papers/1004/1004.3460.pdf.
[8] CHELLY Z,ELOUEDI Z.RC-DCA:a new feature selection and signal categorization technique for the dendritic cell algorithm based on rough set theory[C]//Proceedings of Artificial Immune Systems.Berlin,Germany:Springer,2012:152-165.
[9] CHELLY Z,ELOUEDI Z.QR-DCA:a new rough data pre-processing approach for the dendritic cell algorithm[C]//Proceedings of Adaptive and Natural Computing Algorithms.Berlin,Germany:Springer,2013:140-150.
[10] CHELLY Z,ELOUEDI Z.Improving the dendritic cell algorithm performance using fuzzy-rough set theory as a pattern discovery technique[C]//Proceedings of the 5th International Conference on Innovations in Bio-Inspired Computing and Applications.Berlin,Germany:Springer,2014:23-32.
[11] 蔡文学,罗永豪,张冠湘,等.基于GBDT与Logistic回归融合的个人信贷风险评估模型及实证分析[J].管理现代化,2017(2):1-4.
[12] CHEN Tianqi,GUESTRIN C.XGBoost:a scalable tree boosting system[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM,2016:785-794.
[13] MARTINEZ-DE-PISON F J,FRAILE-GARCIA E,FERREIRO-CABELLO J,et al.Searching parsimonious solutions with GA-PARSIMONY and XGBoost in high-dimensional databases[C]//Proceedings of International Joint Conference SOCO’16-CISIS’16-ICEUTE’16.Berlin,Germany:Springer,2016:201-210.
[14] LUCKNER M,TOPOLSKI B,MAZUREK M.Application of XGBoost algorithmin fingerprinting localisation task[C]//Proceedings of IFIP International Conference on Computer Information Systems and Industrial Management.Berlin,Germany:Springer,2017:661-671.
[15] 兰晓然,张灏,李明,等.基于数据挖掘的手机用户换机行为预测研究[J].数学的实践与认识,2017,47(16):71-80.
[16] GREENSMITH J.The dendritic cell algorithm[D].Nottingham,UK:University of Nottingham,2007. |