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h5 指数:52
h5 中位数:84

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#8 Data Mining & Analysis

标题/作者	引用次数	年份
Self-Attentive Sequential Recommendation WC Kang, J McAuley 2018 IEEE International Conference on Data Mining (ICDM), 197-206	1341	2018
Adversarially Learned Anomaly Detection H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar 2018 IEEE International Conference on Data Mining (ICDM), 727-736	334	2018
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi 2019 IEEE International Conference on Data Mining (ICDM), 598-607	234	2019
Multivariate Time-Series Anomaly Detection via Graph Attention Network H Zhao, Y Wang, J Duan, C Huang, D Cao, Y Tong, B Xu, J Bai, J Tong, ... 2020 IEEE International Conference on Data Mining (ICDM), 841-850	227	2020
Signed Graph Convolutional Networks T Derr, Y Ma, J Tang 2018 IEEE International Conference on Data Mining (ICDM), 929-934	209	2018
Transfer Learning with Dynamic Adversarial Adaptation Network C Yu, J Wang, Y Chen, M Huang 2019 IEEE International Conference on Data Mining (ICDM), 778-786	195	2019
COPOD: Copula-Based Outlier Detection Z Li, Y Zhao, N Botta, C Ionescu, X Hu 2020 IEEE International Conference on Data Mining (ICDM), 1118-1123	187	2020
Exploiting Multi-domain Visual Information for Fake News Detection P Qi, J Cao, T Yang, J Guo, J Li 2019 IEEE International Conference on Data Mining (ICDM), 518-527	164	2019
Prerequisite-Driven Deep Knowledge Tracing P Chen, Y Lu, VW Zheng, Y Pian 2018 IEEE International Conference on Data Mining (ICDM), 39-48	141	2018
A New Forecasting Framework for Bitcoin Price with LSTM. CH Wu, CC Lu, YF Ma, RS Lu ICDM Workshops, 168-175	132	2018
A Reinforcement Learning Framework for Explainable Recommendation X Wang, Y Chen, J Yang, L Wu, Z Wu, X Xie 2018 IEEE International Conference on Data Mining (ICDM), 587-596	131	2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN SK Lim, Y Loo, NT Tran, NM Cheung, G Roig, Y Elovici 2018 IEEE International Conference on Data Mining (ICDM), 1122-1127	128	2018
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Y Yan, M Hashemi, K Swersky, Y Yang, D Koutra 2022 IEEE International Conference on Data Mining (ICDM), 1287-1292	127	2022
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. X Liu, X Wang, S Matwin ICDM Workshops, 905-912	112	2018
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching Z Wang, Z Qin, X Tang, J Ye, H Zhu 2018 IEEE International Conference on Data Mining (ICDM), 617-626	111	2018
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh 2018 IEEE International Conference on Data Mining (ICDM), 837-846	110	2018
Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention R Li, Y Shen, Y Zhu 2018 IEEE International Conference on Data Mining (ICDM), 1110-1115	106	2018
Sub-Graph Contrast for Scalable Self-Supervised Graph Representation Learning Y Jiao, Y Xiong, J Zhang, Y Zhang, T Zhang, Y Zhu 2020 IEEE International Conference on Data Mining (ICDM), 222-231	105	2020
Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter. M Heidari, JH Jones, Ö Uzuner ICDM (Workshops), 480-487	103	2020
Partial Multi-view Clustering via Consistent GAN Q Wang, Z Ding, Z Tao, Q Gao, Y Fu 2018 IEEE International Conference on Data Mining (ICDM), 1290-1295	102	2018

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