Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 595-598.
• Interdiscipline & Application • Previous Articles Next Articles
LIU Hua-ling1, LIN Bei1, YUN Wen-jing1, DING Yu-jie2
CLC Number:
| [1]KLAFFT M.Peer to Peer Lending:Auctioning Microcredits over the Internet[M].Social Science Electronic Publishing,2009. [2]PURO L,TEICH J E,WALLENIUS H,et al.Borrower Deci-sion Aid for people-to-people lending[J].Decision Support Systems,2010,49(1):52-60. [3]DUARTE J,SIEGEL S,YOUNG L.Trust and Credit:The Role of Appearance in Peer-to-peer Lending[J].Review of Financial Studies,2012,25(8):2455-2483. [4]EMEKTER R,TU Y,JIRASAKULDECH B,et al.Evaluatingcredit risk and loan performance in online Peer-to-Peer (P2P) lending[J].Applied Economics,2015,47(1):54-70. [5]GUO Y,ZHOU W,LUO C,et al.Instance-based credit risk assessment for investment decisions in P2P lending[J].European Journal of Operational Research,2015,249(2):417-426. [6]柳向东,李凤.大数据背景下网络借贷的信用风险评估——以人人贷为例[J].统计与信息论坛,2016,31(5):41-48. [7]罗钦芳,丁国维,傅馨,等.基于“多层次分类”方法的异常P2P网贷借款识别[J].管理工程学报,2017,31(3):201-209. [8]XIA Y,LIU C,LIU N.Cost-sensitive boosted tree for loan eva-luation in peer-to-peer lending[J].Electronic Commerce Research & Applications,2017,24:30-49. [9]HE H,GARCIA E A.Learning from Imbalanced Data[J].IEEE Transactions on Knowledge & Data Engineering,2009,21(9):1263-1284. [10]HULSE J V,KHOSHGOFTAAR T M,NAPOLITANO A,et al.An exploration of learning when data is noisy and imba-lanced[J].Intelligent Data Analysis,2011,15(2):215-236. [11]CHAWLA N V,BOWYER K W,HALL L O,et al.SMOTE:synthetic minority over-sampling technique[J].Journal of Artificial Intelligence Research,2002,16(1):321-357. [12]BREIMAN L.Bagging predictors[J].Machine Learning,1996,24(2):123-140. [13]刘巧莉,温浩宇,Hong Qin.P2P网络信贷中投资行为影响因素研究——基于拍拍贷平台交易的证据[J].管理评论,2017,29(6):13-22. [14]陈冬宇,朱浩,郑海超.风险、信任和出借意愿———基于拍拍贷注册用户的实证研究[J].管理评论,2014,26(1):150-158. [15]廖理,吉霖,张伟强.借贷市场能准确识别学历的价值吗？——来自P2P平台的经验证据[J].金融研究,2015(3):146-159. [16]曾江洪,李文瀚,陈玺.P2P借款的损失能挽回吗？——基于拍拍贷的实证研究[J].科研管理,2016,37(8):48-57. [17]彭红枫,杨柳明,谭小玉.地域差异如何影响P2P平台借贷的行为——基于“人人贷”的经验证据[J].当代经济科学,2016,38(5):21-34. [18]胡晏.信用等级、借款成功率与违约风险——基于“拍拍贷”数据的经验证据[J].投资研究,2017,36(8):143-158. [19]WEISS G M,PROVOST F.Learning when training data arecostly:the effect of class distribution on tree induction[M].AI Access Foundation,2003. [20]魏瑾瑞,吕晓云.Logistic模型对非平衡数据的敏感性:测度、修正与比较[J].统计研究,2016,33(2):79-85. |
| [1] | LIN Xi, CHEN Zi-zhuo, WANG Zhong-qing. Aspect-level Sentiment Classification Based on Imbalanced Data and Ensemble Learning [J]. Computer Science, 2022, 49(6A): 144-149. |
| [2] | KANG Yan, WU Zhi-wei, KOU Yong-qi, ZHANG Lan, XIE Si-yu, LI Hao. Deep Integrated Learning Software Requirement Classification Fusing Bert and Graph Convolution [J]. Computer Science, 2022, 49(6A): 150-158. |
| [3] | WANG Yu-fei, CHEN Wen. Tri-training Algorithm Based on DECORATE Ensemble Learning and Credibility Assessment [J]. Computer Science, 2022, 49(6): 127-133. |
| [4] | HAN Hong-qi, RAN Ya-xin, ZHANG Yun-liang, GUI Jie, GAO Xiong, YI Meng-lin. Study on Cross-media Information Retrieval Based on Common Subspace Classification Learning [J]. Computer Science, 2022, 49(5): 33-42. |
| [5] | REN Shou-peng, LI Jin, WANG Jing-ru, YUE Kun. Ensemble Regression Decision Trees-based lncRNA-disease Association Prediction [J]. Computer Science, 2022, 49(2): 265-271. |
| [6] | CHEN Wei, LI Hang, LI Wei-hua. Ensemble Learning Method for Nucleosome Localization Prediction [J]. Computer Science, 2022, 49(2): 285-291. |
| [7] | LIU Zhen-yu, SONG Xiao-ying. Multivariate Regression Forest for Categorical Attribute Data [J]. Computer Science, 2022, 49(1): 108-114. |
| [8] | ZHOU Xin-min, HU Yi-gui, LIU Wen-jie, SUN Rong-jun. Research on Urban Function Recognition Based on Multi-modal and Multi-level Data Fusion Method [J]. Computer Science, 2021, 48(9): 50-58. |
| [9] | ZHOU Gang, GUO Fu-liang. Research on Ensemble Learning Method Based on Feature Selection for High-dimensional Data [J]. Computer Science, 2021, 48(6A): 250-254. |
| [10] | DAI Zong-ming, HU Kai, XIE Jie, GUO Ya. Ensemble Learning Algorithm Based on Intuitionistic Fuzzy Sets [J]. Computer Science, 2021, 48(6A): 270-274. |
| [11] | HUAN Wen-ming, LIN Hai-tao. Design of Intrusion Detection System Based on Sampling Ensemble Algorithm [J]. Computer Science, 2021, 48(11A): 705-712. |
| [12] | LIU Zhen-peng, SU Nan, QIN Yi-wen, LU Jia-huan, LI Xiao-fei. FS-CRF:Outlier Detection Model Based on Feature Segmentation and Cascaded Random Forest [J]. Computer Science, 2020, 47(8): 185-188. |
| [13] | FANG Meng-lin, TANG Wen-bing, HUANG Hong-yun and DING Zuo-hua. Wall-following Navigation of Mobile Robot Based on Fuzzy-based Information Decomposition and Control Rules [J]. Computer Science, 2020, 47(6A): 79-83. |
| [14] | GU Xue-mei,LIU Jia-yong,CHENG Peng-sen,HE Xiang. Malware Name Recognition in Tweets Based on Enhanced BiLSTM-CRF Model [J]. Computer Science, 2020, 47(2): 245-250. |
| [15] | DONG Ming-gang,JIANG Zhen-long,JING Chao. Multi-class Imbalanced Learning Algorithm Based on Hellinger Distance and SMOTE Algorithm [J]. Computer Science, 2020, 47(1): 102-109. |
|
||
Home