Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (11): 3268-3273.doi: 10.13229/j.cnki.jdxbgxb.20220736
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1 | 黄燚, 刘珍, 王若愚, 等. 移动互联网流量分类的多特征集合和多类别标签研究[J]. 计算机应用研究, 2020, 37(11): 3353-3358. |
Huang Yi, Liu Zhen, Wang Ruo-yu, et al. Research on multi-feature sets and multi-class labels for mobile Internet traffic classification[J]. Computer Application Research, 2020, 37(11): 3353-3358. | |
2 | Huang W, Zhou S, Zhu T, et al. Privately publishing Internet of things data: bring personalized sampling into differentially private mechanisms[J]. IEEE Internet of Things Journal, 2021, 9(1): 80-91. |
3 | Li L, Zhang X, Yue W, et al. Cooperative search for dynamic targets by multiple UAVs with communication data losses[J]. ISA Transactions, 2021, 114(4): 230-241. |
4 | Mai K, Saeed W, Medi I. Churn prediction in digital game-based learning using data mining techniques: logistic regression, decision tree, and random forest[J]. Applied Soft Computing, 2022, 118(1): 108491. |
5 | Shen F, Liu Y, Wang R, et al. A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment[J]. Knowledge-Based Systems, 2020, 192: 105365. |
6 | 侯贝贝, 刘三阳, 普事业. 基于边界混合重采样的非平衡数据分类方法[J]. 计算机工程与应用, 2020, 56(1): 46-52. |
Hou Bei-bei, Liu San-yang, Pu Shi-ye. Imbalanced data classification method based on boundary mixed resampling[J]. Computer Engineering and Applications, 2020, 56(1): 46-52. | |
7 | 李锦珑, 包理群, 周彬. 改进果蝇优化算法及其在不平衡数据分类中的应用[J]. 西北师范大学学报: 自然科学版, 2021, 57(3): 57-61. |
Li Jin-long, Bao Li-qun, Zhou Bin. Improved fruit fly optimization algorithm and its application in imbalanced data classification[J]. Journal of Northwest Normal University (Natural Science Edition), 2021, 57(3): 57-61. | |
8 | 陈清, 张程. 区间约束下移动终端用户偏好的数据挖掘模型[J]. 计算机仿真, 2020, 37(11):320-323. |
Chen Qing, Zhang Cheng. Data mining model of mobile terminal user preference under interval constraints[J]. Computer Simulation, 2020, 37(11): 320-323. | |
9 | Huang L, Zhang Q, Zhang L, et al. Efficiency enhancement for underwater adaptive modulation and coding systems: via sparse principal component analysis[J]. IEEE Communications Letters, 2020, 24(8): 1808-1811. |
10 | 张海燕, 武晓蓓, 李娜. 基于非对称分布散点分位数的区间数据回归分析[J]. 统计与决策, 2022, 38(2): 26-32. |
Zhang Hai-yan, Wu Xiao-bei, Li Na. Regression analysis of interval data based on scattered quantiles of asymmetric distribution[J]. Statistics and Decision-Making, 2022, 38(2): 26-32. | |
11 | 乔剑敏, 李沃源, 赵新平, 等. 一种有方案偏好的TOPSIS区间直觉模糊多属性决策方法[J]. 数学的实践与认识, 2020, 50(6): 322-328. |
Qiao Jian-min, Li Wo-yuan, Zhao Xin-ping, et al. A TOPSIS interval intuitionistic fuzzy multi-attribute decision-making method with scheme preference[J]. Practice and Understanding of Mathematics, 2020, 50(6): 322-328. | |
12 | Wu X, Zhou H, Wu B, et al. A possibilistic fuzzy gath-geva clustering algorithm using the exponential distance[J]. Expert Systems with Applications, 2021, 184(5): 115550. |
13 | 沙秀艳, 尹传存, 徐泽水. 基于指数熵加权的降维犹豫模糊兰氏距离测度及应用[J]. 控制与决策, 2020, 35(3): 728-734. |
Sha Xiu-yan, Yin Chuan-cun, Xu Ze-shui. Dimensionality reduction hesitant fuzzy rankine distance measurement and application based on exponential entropy weighting[J]. Control and Decision, 2020, 35(3): 728-734. | |
14 | 何新林, 戚宗锋, 李建勋. 基于隐变量后验生成对抗网络的不平衡学习[J]. 上海交通大学学报, 2021, 55(5): 557-565. |
He Xin-lin, Qi Zong-feng, Li Jian-xun. Imbalanced learning based on latent variable posterior generative adversarial networks[J]. Journal of Shanghai Jiaotong University, 2021, 55(5): 557-565. | |
15 | Akram M, Ullah I, Alharbi M G. Methods for solving LR-Type pythagorean fuzzy linear programming problems with mixed constraints[J]. Mathematical Problems in Engineering, 2021(1): 1-29. |
16 | Lochbihler A. A mechanized proof of the max-flow min-cut theorem for countable networks with applications to probability theory[J]. Journal of Automated Reasoning, 2022(1): 1-26. |
17 | Dakulagi V, Bakhar M. Advances in smart antenna systems for wireless communication[J]. Wireless Personal Communications, 2020, 110(2): 931-957. |
18 | Chicco D, Jurman G. The advantages of the matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation[J]. BMC Genomics, 2020, 21(6): 1-13. |
19 | 翁渊瀚, 李南. 基于时间序列模型的文本数据压缩存储算法[J]. 吉林大学学报: 工学版, 2023, 53(7): 2109-2114. |
Weng Yuan-han, Li Nan. Text data compression storage algorithm based on time series model[J]. Journal of Jilin University(Engineering and Technology Edition), 2023,53(7): 2109-2114. | |
20 | 宋震,柳杰. 旋转机械振动频率时间序列预测算法[J]. 吉林大学学报: 工学版, 2022, 52(8): 1764-1769. |
Song Zhen, Liu Jie. Vibration frequency time series prediction algorithm for rotating machinery[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1764-1769. |
[1] | Shi-jun SONG,Min FAN. Design of big data anomaly detection model based on random forest algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(9): 2659-2665. |
[2] | Yuan-han WENG,Nan LI. Text data compression and storage algorithm based on time series model [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2109-2114. |
[3] | Yan LI,Jiu-peng ZHANG,Zi-xuan CHEN,Guo-jing HUANG,Pei WANG. Evaluation of asphalt pavement performance based on PCA⁃PSO⁃SVM [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1729-1735. |
[4] | Rui-shan DU,Yu-xin CHEN,Ling-dong MENG. Trusted cloud computing platform poly source big data time sequence scheduling algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3194-3200. |
[5] | Chao-gang ZHANG,Zhong-lou SHI,Min LI. Simulation of ultra-precision machine tool spindle fault diagnosis based on multi-state time series predictive learning [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3056-3061. |
[6] | Lin JIANG,Li YANG,Wen-jun ZHANG,Qiong-yu ZHANG,Yan-xia WU. Detection and processing algorithm of slope point cloud in obstacle detection [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3221-3228. |
[7] | Qiang GUO,Ming-song LI,Kai ZHOU. Multi⁃mode radar signal sorting based on potential distance graph and improved cloud model [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1904-1911. |
[8] | Zhen SONG,Jie LIU. Time series prediction algorithm of vibration frequency of rotating machinery [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1764-1769. |
[9] | Zhen CAO,Lu-yao CUI,Bin LEI,Jing-yi WANG,Shuang-sheng CAO. Feature dimensionality reduction and random forest method in intelligent diagnosis of rolling bearings for urban rail trains [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2287-2293. |
[10] | Hong-xue LI,Shi-wu LI,Wen-cai SUN,Wei LI,Meng-zhu GUO. Driving cycle construction of heavy semi⁃trailers carrying hazardous cargos [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1700-1707. |
[11] | Li-qun WU,Liang-liang ZHANG. Health detection of bridge structures based on data mining technology [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 565-571. |
[12] | LIU Zhe, XU Tao, SONG Yu-qing, XU Chun-yan. Image fusion technology based on NSCT and robust principal component analysis model with similar information [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1614-1620. |
[13] | ZHANG Man, SHI Shu-ming. Analysis of state transition characteristics for typical vehicle driving cycles [J]. 吉林大学学报(工学版), 2018, 48(4): 1008-1015. |
[14] | GENG Qing-tian, YU Fan-hua, WANG Yu-ting, GAO Qi-kun. New algorithm for vehicle type detection based on feature fusion [J]. 吉林大学学报(工学版), 2018, 48(3): 929-935. |
[15] | LIU Shu, JIANG Qi-gang, ZHU Hang, LI Xiao-dong. Reconstruction of Landsat NDVI time series of Xianghai natural deserve based on a hybrid filtering algorithm Hyb-F [J]. 吉林大学学报(工学版), 2018, 48(3): 957-967. |
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