IEEE International Conference on Data Mining
ICDM
A*
CORE rank
CORE rank (raw)
A*
Fields of research
Data Management and Data Science · Machine Learning
Papers indexed
7,201
2001–2025
Papers per year
2001612 peak2025
Most published authors
ICDM papers
7,201 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. | Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou |
| 2023 | Distribution-Based Trajectory Clustering. | Zijing Wang, Ye Zhu, Kai Ming Ting |
| 2023 | E2VQ: Enabling Expressive, Efficient, and Verifiable Queries over Blockchain Databases. | Zexin Wang, Qiang Wang, Zi Jiao, Zhifan Huang, Changsheng Zhang, Fucai Zhou, Che Bian |
| 2023 | GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling. | Tianxing Wang, Can Wang, Hui Tian, Hong Shen |
| 2023 | Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. | Minh N. Vu, My T. Thai |
| 2023 | Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. | Hariram Veeramani, Surendrabikram Thapa, Usman Naseem |
| 2023 | HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. | Minh-Hao Van, Alycia N. Carey, Xintao Wu |
| 2023 | Deep Outdated Fact Detection in Knowledge Graphs. | Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor |
| 2023 | Differentiable Bayesian Structure Learning with Acyclicity Assurance. | Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen |
| 2023 | Andragogy Meets ChatGPT in Lifelong Learning: Exploring Opportunities and Challenges. | Renata Tomaszewska |
| 2023 | Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. | Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek |
| 2023 | Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. | Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar |
| 2023 | Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. | Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang |
| 2023 | Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. | Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2023 | Graph Neural Networks with Non-Recursive Message Passing. | Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang |
| 2023 | FCToken: A Flexible Framework for Blockchain-Based Compliance Tokenization. | Hao Tan, Shuangzhou Yan, Xin Zou, Guanghuan Xie, Hongxin Zhang, Zhuo Li |
| 2023 | Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. | Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng |
| 2023 | Video Sentiment Analysis for Child Safety. | Yee Sen Tan, Nicole Anne Teo Huiying, Ezekiel En Zhe Ghe, Jolie Zhi Yi Fong, Zhaoxia Wang |
| 2023 | Online Change Point Detection in Open Feature Spaces. | Yixiang Tang, Yi He |
| 2023 | Matching Words for Out-of-distribution Detection. | Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang |
| 2023 | Matrix Profile XXIX: C | Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh |
| 2023 | Rule Mining for Correcting Classification Models. | Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara |
| 2023 | MCRec: Multi-channel Gated Gifts Recommendation. | Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | Study of Topology Bias in GNN-based Knowledge Graphs Algorithms. | Anil Surisetty, Aakarsh Malhotra, Deepak Chaurasiya, Sudipta Modak, Siddharth Yerramsetty, Alok Singh, Liyana Sahir, Esam Abdel-Raheem |
| 2023 | DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. | Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
951–975 of 7,201← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases